Choose design pattern agentic ai system
• https://docs.cloud.google.com/architecture/choose-design-pattern-agentic-ai-system?hl=fr

Martin Fowler about non deterministic computing
• https://thenewstack.io/martin-fowler-on-preparing-for-ais-nondeterministic-computing/

GenAi to understand legacy codebases (Thought Work Radar)
• https://www.thoughtworks.com/en-us/radar/techniques/summary/using-genai-to-understand-legacy-codebases

Building an internal agent
• https://lethain.com/agents-series/

Multiple path for Java developers to build Ai agents
• https://thenewstack.io/java-developers-get-multiple-paths-to-building-ai-agents/

Way from IaC to Ai agent
• https://thenewstack.io/the-new-operational-stack-from-iac-to-platforms-to-ai-agents/

How to build mature RAG
• https://www.linkedin.com/posts/remi-tibi_tout-le-monde-sait-faire-un-poc-rag-tr%C3%A8s-activity-7408496083267506176-fGbU

Dev

Google research, Ai in software engineering
• https://research.google/blog/ai-in-software-engineering-at-google-progress-and-the-path-ahead/

Introducing AI driven development lifecycle (AI-DLC) AWS Re:Invent
• https://www.youtube.com/watch?v=1HNUH6j5t4A

ReAct pattern (Reasoning Acting)
• https://medium.com/@vikuman/mastering-the-react-pattern-build-smarter-ai-agents-that-can-think-and-act-50f863718115

Issue based development (IBD) with Ai
• https://www.linkedin.com/posts/didiergirard_ai4dev-activity-7406611640349270017-lRMi

Augment coding, beynd the vibes
• https://tidyfirst.substack.com/p/augmented-coding-beyond-the-vibes

Evolution of code review practices with ai
• https://packagemain.tech/p/evolution-of-code-review-practices-code-rabbit

Memory analysis for containerized java application
• https://blog.heaphero.io/memory-analysis-for-containerized-java-applications-docker-kubernetes/

Microsoft replace C and C++ with Rust
• https://thenewstack.io/microsofts-bold-goal-replace-1b-lines-of-c-c-with-rust/

Create MCP server with Spring boot
• https://blog.zenika.com/2025/12/22/serveur-mcp-avec-springboot-partie-1/
• https://blog.zenika.com/2025/12/22/serveur-mcp-avec-springboot-partie-2/

Tomb of Java antiquities (old legacy Java)
• https://pvs-studio.com/en/blog/posts/java/1323/

Tool

CL4R1T4S extracted system prompts, guidelines, and tools from majors
• https://github.com/elder-plinius/CL4R1T4S/tree/main

Ai game with skills from Nicolas Martignole
• https://github.com/nicmarti/skills-weaver

Github Copilot supports Agent Skills
• https://github.blog/changelog/2025-12-18-github-copilot-now-supports-agent-skills/

Toon, Token-Oriented Object Notation
• https://github.com/toon-format/toon
• Java implementation Jtoon https://github.com/felipestanzani/JToon

Obsidian
• https://obsidian.md/

Claude code usage
• Awesome Repo https://github.com/hesreallyhim/awesome-claude-code
• Claude code features https://blog.sshh.io/p/how-i-use-every-claude-code-feature
• Writing a good claude.md https://www.humanlayer.dev/blog/writing-a-good-claude-md
• Skills with Claude https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/

Github alternative, codeberg
• https://codeberg.org/

Embabel vs Langgraph (Java vs Python)
• https://medium.com/@springrod/build-better-agents-in-java-vs-python-embabel-vs-langgraph-f7951a0d855c

Vibium browser automation infrastructure built for AI agents
• https://github.com/VibiumDev/vibium

FastMcp standard framework for building MCP applications
• https://gofastmcp.com/getting-started/welcome
• Github https://github.com/jlowin/fastmcp

Ai and Llm

Prompt like a pro course material
• https://github.com/timothywarner-org/prompt-pro

Various resources to learn LLM
• OpenAi Academy https://academy.openai.com/
• Classical machiine learning by Andrew Ng https://www.coursera.org/specializations/machine-learning-introduction
• Google Gemini prompt guide https://workspace.google.com/learning/content/gemini-prompt-guide
• Perplexity how to https://www.perplexity.ai/fr/hub/getting-started
• Perplexity labs https://www.perplexity.ai/fr/hub/blog/introducing-perplexity-labs
• Anthropic academy https://www.anthropic.com/learn
• OpenAi guide building agents https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
• Deepdive in llm https://www.youtube.com/watch?v=7xTGNNLPyMI
• Skills Google https://www.skills.google/
• Coursera about general ChatGpt usage https://www.coursera.org/learn/chatgpt-foundations-for-teachers/

LearnLM by google to learn with LLM
• https://cloud.google.com/solutions/learnlm?hl=fr

Learn LLM with Standford courses
• https://www.youtube.com/playlist?list=PLoROMvodv4rOCXd21gf0CF4xr35yINeOy

Context engineering for llm
• https://arxiv.org/abs/2507.13334

How people use Ai agents
• https://www.perplexity.ai/fr/hub/blog/how-people-use-ai-agents

Prompt techniques (from Openai, Google, Anthropic and more)
• https://www.linkedin.com/posts/benjamin-gabay_openai-anthropic-et-google-ne-le-disent-activity-7404518819219533825-HRO4
• https://www.linkedin.com/posts/kris-lef-a08430226_niche-activity-7404780496892739584-JK6a

OpenAi codex is open sourcing Ai models
• https://huggingface.co/blog/hf-skills-training-codex

Code agent evaluation Code Arena
• https://www.infoq.com/news/2025/11/code-arena
• https://news.lmarena.ai/code-arena/

Ai Agent coding REX
• https://octomind.dev/blog/why-agents-do-not-write-most-of-our-code-a-reality-check

Ai emerging leaders
• https://openai.com/index/gartner-2025-emerging-leader/

Same model, different results
• https://blog.thepete.net/blog/2025/12/10/same-model-different-results-why-coding-agents-arent-interchangeable/

Prompt engineer resources
• https://generativeprogrammer.com/p/best-prompt-engineering-resources

IA entre imposture, mystification et dystopie
• https://www.linkedin.com/pulse/caf%C3%A9-ia-la-lettre-hebdomadaire-18-lia-entre-imposture-mystification-hvmte

Zoom on Mcp
• https://www.linkedin.com/posts/wilfried-de-renty_mcp-en-folie-activity-7408091307157499904-k2mG

Ai learning sources
• https://www.linkedin.com/posts/josselin-davy-a48ab51a2_on-entend-souvent-que-lia-est-complexe-ce-activity-7406602801704960000-8u3U

Various

Time to write your Brag document (list accomplishments) by Julia Evans
• https://jvns.ca/blog/brag-documents/

Interview training (learn)
• https://www.hellointerview.com/

Futur of software engineering
• https://medium.com/@pete.palles/the-future-of-software-engineering-51de53d2e45a

Most influential open source projects
• https://github.blog/open-source/maintainers/this-years-most-influential-open-source-projects/

French main media owners analysis
• https://github.com/mdiplo/Medias_francais

Mermaid schemas with Ai
• https://blog.korny.info/2025/10/10/agent-mermaid-reporting-for-duty

Emerging architecture with AgentAi
• https://medium.com/@nattapolats/the-emerging-architecture-of-agentic-ai-and-how-cfe-already-runs-what-others-are-still-theorizing-dc3c3d32b33f

Claude code sandboxing
• https://www.infoq.com/news/2025/11/anthropic-claude-code-sandbox/

Dev

Refactoring kata
• https://github.com/henri-tremblay/refactoring/

Workshop build agent
• https://cagent-workshop.rumpl.dev/

Awesome Github Copilot
• https://github.com/github/awesome-copilot

Ai based development
• https://blog.joemag.dev/2025/10/the-new-calculus-of-ai-based-coding.html

Effective claude code usage
• https://blog.sshh.io/p/how-i-use-every-claude-code-feature

Building agent with Langchain4j
• https://www.linkedin.com/pulse/building-agents-langchain4j-antonio-goncalves-hhlke

Think different, Software 2.0
• https://karpathy.medium.com/software-2-0-a64152b37c35

Github pullrequest companion with instruction files
• https://github.blog/ai-and-ml/unlocking-the-full-power-of-copilot-code-review-master-your-instructions-files/

Tool

Nx, build plateform dedicated to monorepo
• https://nx.dev/

Mcp context7
• https://github.com/upstash/context7
• https://context7.com/

Mcp tools for developers
• https://github.blog/open-source/accelerate-developer-productivity-with-these-9-open-source-ai-and-mcp-projects/

Agent gateway
• https://agentgateway.dev/
• https://thenewstack.io/mcp-vs-api-gateways-theyre-not-interchangeable/

Using Github Copilot with custom llm API key
• https://syntackle.com/blog/github-copilot-with-custom-api-key/

Spec driven development kit Sdd
• https://developer.microsoft.com/blog/spec-driven-development-spec-kit

EuroStack, European equivlent services
• https://euro-stack.com/categories

DrawIo MCP server
• https://github.com/lgazo/drawio-mcp-server/tree/main

AB Testing tools
• https://launchdarkly.com/
• https://www.getunleash.io/
• https://tggl.io/

Ai agent evaluation (Jetbrain) Developer productivity Ai arena
• https://dpaia.dev/
• https://github.com/orgs/dpaia/repositories

Llm anthropic wrapper
• https://github.com/simonw/llm-anthropic

Ai and Llm

Gpt 5.1 for developers
• https://openai.com/index/gpt-5-1-for-developers/

Research paper, Less is more recursive reasoning with tiny networks
• https://arxiv.org/pdf/2510.04871

Illusion of thinking
• https://jso.eecs.yorku.ca/2025/09/07/llms-the-illusion-of-thinking/

Guide to using AI right
• https://www.oneusefulthing.org/p/an-opinionated-guide-to-using-ai

Augmented coding pattern
• https://github.com/lexler/augmented-coding-patterns/tree/main

Youtube playlist about Devoxx Ticket system migration with Claude code
• https://www.youtube.com/playlist?list=PLFl7PD2XSM3g3I7mFF7CB3I_odXQuzltl

Introduction to deep learning by Andrew Ng
• https://www.youtube.com/watch?v=_NLHFoVNlbg

Toolformer paper, about llm usage of tools
• https://arxiv.org/pdf/2302.04761

Jack Clark opinion about Ai
• https://jack-clark.net/2025/10/13/import-ai-431-technological-optimism-and-appropriate-fear/

Google and MCP security by Google
• https://www.infoq.com/news/2025/10/google-cloud-secure-mcp

Prompt boost, VSCode integration
• https://promptboost.dev/

REX Ai agentic
• https://www.wenvision.com/fr/articles/ia-agentique-en-production-les-lecons-de-deux-ans-de-deploiement/
• https://www.wenvision.com/fr/articles/lagentique-qui-marche-presque-ne-marche-pas/
• https://www.wenvision.com/fr/articles/l-agentique-adaptative-les-principes-d-une-ia-qui-grandit/
• https://www.wenvision.com/fr/articles/mettre-l-agentique-adaptative-en-production-illustration-avec-raise-partie-1/
• https://www.wenvision.com/fr/articles/mettre-l-agentique-adaptative-en-production-illustration-avec-raise-partie-2/

Various

Learning, Ai augmented developer
• https://institute.sfeir.com/formations/data-analytics-and-ai/developpeur-augmente-par-lia/
• https://www.educative.io/courses/agentic-ai-systems
• https://javarevisited.blogspot.com/2025/11/7-best-courses-to-learn-agentic-ai-in.html

Linus Torvald about Git
• https://github.blog/open-source/git/git-turns-20-a-qa-with-linus-torvalds/

Chess at Ai era
• https://www.radiofrance.fr/franceinter/podcasts/serie-les-echecs-a-l-ere-des-machines-pourquoi-joue-t-on-encore-alors-qu-on-est-surs-de-perdre

DORA report on Ai assisted software development (by google)
• https://cloud.google.com/blog/products/ai-machine-learning/announcing-the-2025-dora-report?hl=en

Stanford Ai report 2025
• https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf

Review Ai trends
• https://alain.goudey.eu/side/2025/06/03/tendances-intelligence-artificielle-2025-adoption-capex-agents-ia/

EU cloud sovereignty
• https://www.infoq.com/news/2025/11/eu-seal-framework-governance/

Architecture Pattern talk by Vladimir Zakharov
• https://github.com/vmzakharov/presentations/blob/main/Architecture_Pattern_Catalog_Talk.pdf

Growing the Java language (by Brian Goetz at JVM Language Summit)
• https://www.youtube.com/watch?v=Gz7Or9C0TpM
• Growing a language Guy Steele Paper https://www.cs.virginia.edu/~evans/cs655/readings/steele.pdf
• Growing a language Guy Steele ACM video https://www.youtube.com/watch?v=_ahvzDzKdB0

Architecture back end with llm
• https://www.infoq.com/presentations/llm-data-code-model-prompt

Agent design pattern catalog
• https://arxiv.org/abs/2405.10467

Risks with vibe coding
• https://thenewstack.io/vibe-coding-the-productivity-boom-hiding-massive-governance-risks/

Need AI Gateway ?
• https://thenewstack.io/taming-llm-sprawl-why-enterprises-need-an-ai-gateway-now/

Dev

Oop kata, tensions and synergies between design principles
• https://github.com/emilybache/tensions_and_synergies_between_design_principles

Java Flow.processor (Reactive Streams)
• https://svenruppert.com/2025/09/04/core-java-flow-processor/

TDD et Ia agent usage
• https://www.youtube.com/watch?v=IVdYaVKuekk

MCP misconceptions
• https://www.docker.com/blog/mcp-misconceptions-tools-agents-not-api/

About Vibe coding and critical risk (cannot delegate act of thinking)
• https://etsd.tech/posts/rtfc/

TDD and Ai
• https://www.latent.space/p/anita-tdd

Java Perf and Scale
• https://www.youtube.com/watch?v=G_EHHFWNtwg

Algorithm Visualizer
• https://algorithm-visualizer.org/

Road to Java 25
• https://www.youtube.com/playlist?list=PLX8CzqL3ArzXJ2_0FIGleUisXuUm4AESE

Benchmarking Valhalla
• https://www.youtube.com/watch?v=hI3Niyv77TQ

Tool

Qodo, 2nd Ai brain
• https://thenewstack.io/qodo-aware-is-a-second-brain-for-ai-coding-agents/

CALM (Common Architecture Language Model) open source from Morgan Stanley
• https://calm.finos.org/
• https://github.com/finos/architecture-as-code
• https://www.ciodive.com/news/morgan-stanley-open-source-software-development-finos-calm/758339/

Vercel open source vibecoding plateform
• https://oss-vibe-coding-platform.vercel.app/

Spec kit from Github
• https://github.com/github/spec-kit
• Complete methodology https://github.com/github/spec-kit/blob/main/spec-driven.md

Playwright (and Mcp)
• https://playwright.dev/
• https://github.com/microsoft/playwright-mcp
• https://github.blog/ai-and-ml/github-copilot/how-to-debug-a-web-app-with-playwright-mcp-and-github-copilot/

Mcp market map
• https://www.scalekit.com/blog/mcp-stack

Context inspector
• https://github.com/mgechev/context-inspector

Paper2Agent, Paper2Agent transforms research output from passive artifacts into active systems that can accelerate downstream use, adoption, and discovery
• https://arxiv.org/pdf/2509.06917
• https://github.com/jmiao24/Paper2Agent

Verdent ai plateform
• https://www.verdent.ai/
• https://thenewstack.io/tiktoks-ex-algorithm-chief-launches-verdent-ai-coding-tool/

Ai and Llm

Fine tuning technics
• https://blog.bytebytego.com/p/how-fine-tuning-transforms-generic

Why llm hallucinate, openai study
• https://openai.com/index/why-language-models-hallucinate/

ClaudeCode framework war
• https://shmck.substack.com/p/claude-code-framework-wars

Understand tool calling in LLM
• https://muthuishere.medium.com/understanding-tool-function-calling-in-llms-step-by-step-examples-in-rest-and-spring-ai-2149ecd6b18b

Choose the right llm
• https://www.oreilly.com/radar/llm-system-design-and-model-selection/

Choose the right tool (google space)
• https://cloud.google.com/blog/products/ai-machine-learning/choose-the-right-google-ai-developer-tool-for-your-workflow

Ai Jupyter agent
• https://huggingface.co/spaces/lvwerra/jupyter-agent-2

Grok Code Fast 1
• https://x.ai/news/grok-code-fast-1
• https://www.infoq.com/news/2025/09/xai-grok-fast1/

Context engineering
• https://www.llamaindex.ai/blog/context-engineering-what-it-is-and-techniques-to-consider
• https://addyo.substack.com/p/context-engineering-bringing-engineering
• Context is the new compute https://www.linkedin.com/pulse/from-prompt-engineer-context-architect-designing-future-gill-geuzc/
• Rex from Manus https://manus.im/fr/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus

Llm traffic impact to convert
• https://www.amsive.com/insights/seo/does-llm-traffic-convert-better-than-organic-a-new-data-backed-study/

Various

Llm as pair ? Reflexions form Ron Jeffries
• https://ronjeffries.com/articles/-w025/y/v/

Hiring reflexions
• https://gun.io/news/2025/09/stop-hiring-the-best-engineers/

Interview and Ai
• https://touilleur-express.fr/2025/09/08/comment-les-outils-dia-peuvent-vous-aider-a-passer-les-entretiens-techniques/

Java interview (lot of) questions
• https://github.com/javabuddy/awesome-java-interview-resource

Developers statistics
• https://blog.humancoders.com/les-50-statistiques-cles-sur-le-quotidien-des-developpeurs-3821/

From Gpt2 to Gpt-oss
• https://magazine.sebastianraschka.com/p/from-gpt-2-to-gpt-oss-analyzing-the
• https://newsletter.languagemodels.co/p/the-illustrated-gpt-oss

Dev

Development and llm opinion
• https://ordep.dev/posts/writing-code-was-never-the-bottleneck

From Reactive to VirtualThread
• https://scalex.dev/blog/simplifying-code-journey-from-reactive-to-virtual-threads/

Guide to Git branching
• https://blog.prateekjain.dev/the-ultimate-guide-to-git-branching-strategies-6324f1aceac2

Review Java basics
• https://foojay.io/today/java-whats-old-part-i-collections/
• https://foojay.io/today/java-whats-old-part-ii-utils/

Java 25 Stable Value
• https://inside.java/2025/07/29/just-be-lazy/

Tab or space
• https://マリウス.com/tabs-vs-spaces-the-war-is-over/

Machine learning real world use cases
• https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies

Ideas about profiling with JFR
• https://mostlynerdless.de/blog/2025/07/29/profiling-idea-unsorted-from-march-2025/

Rex llm for software engineer (Github Copilot)
• https://www.anthropic.com/research/impact-software-development
• https://pretius.com/blog/github-copilot-tutorial
• https://www.hostinger.com/fr/tutoriels/comment-utiliser-github-copilot
• https://blog.cellenza.com/developpement-specifique/github-copilot-retour-dexperience-dun-expert/

Rex coding mvp with claude
• https://touilleur-express.fr/2025/07/30/comment-jai-code-un-mvp-en-une-vingtaine-dheures-avec-claude-code/

Dev but also test, some testing news
• https://www.petrikainulainen.net/monthly/clean-test-automation-monthly-7-2025/

Java stream gathering
• https://www.javaspecialists.eu/archive/Issue326-Stream-Gathering-with-a-Different-Distinct-Function.html

Onboard your Ai pair programmer
• https://github.blog/ai-and-ml/github-copilot/onboarding-your-ai-peer-programmer-setting-up-github-copilot-coding-agent-for-success/
• Ai coding agent usage https://leaddev.com/ai/managing-ai-coding-assistants-without-losing-control

Tool

N8n ai workflow automation
• https://n8n.io/
• https://tuanla.vn/post/n8n/

Subtrace, network analysis
• https://github.com/subtrace/subtrace
• https://www.infoq.com/news/2025/07/subtrace-network-analysis

Maven build introduction (maven 4 is coming)
• https://medium.com/maven-by-nature/introduction-to-maven-the-build-tool-that-modernized-java-development-f3c038b4d32e
• https://maven.apache.org/whatsnewinmaven4.html

Opal, new google tool no code for visual platform creating Ai mini apps
• https://opal.withgoogle.com/landing/
• https://www.infoq.com/news/2025/07/google-opal-ai

MCP ui
• https://mcpui.dev/

Json crack, json editor
• https://github.com/AykutSarac/jsoncrack.com

Ai and Llm

Context engineer
• https://www.philschmid.de/context-engineering
• https://www.oreilly.com/radar/context-engineering-bringing-engineering-discipline-to-prompts-part-2/

Model comparison
• https://artificialanalysis.ai/

Brokk benchmark
• https://foojay.io/today/new-java-benchmark-for-coding-llms-puts-gpt-5-at-the-top/
• https://github.com/BrokkAI/powerrank

Genai vs Agentic ai
• https://www.docker.com/blog/genai-vs-agentic-ai/

API discovery with llm
• https://thenewstack.io/how-agentic-ai-is-reshaping-api-self-discovery/

Llm interfaces
• https://www.oreilly.com/radar/interfaces-that-build-themselves/

Ai and open protocols (MCP, …)
• https://ai-frontiers.org/articles/open-protocols-prevent-ai-monopolies
• https://www.oreilly.com/radar/protocols-and-power/

Still some MCP
• https://github.blog/ai-and-ml/generative-ai/a-practical-guide-on-how-to-use-the-github-mcp-server/
• https://www.docker.com/blog/mcp-security-issues-threatening-ai-infrastructure/
• https://medium.com/@springrod/building-stateful-ai-agents-how-to-create-interactive-mcp-tools-with-embabel-0dfbd3037cf7

But also A2A protocol
• https://thenewstack.io/google-brings-the-a2a-protocol-to-more-of-its-cloud/

Mastering agentic workflows with ADK: Loop agents
• https://glaforge.dev/posts/2025/07/28/mastering-agentic-workflows-with-adk-loop-agents/

Llm embeddings
• https://huggingface.co/spaces/hesamation/primer-llm-embedding?section=what_are_embeddings?

Reflexion about llm coding style
• https://www.reddit.com/r/java/comments/1mcn4rs/interesting_styles_in_java_code_generated_by_llms/

Various

Ai perspectives
• https://www.oreilly.com/radar/we-are-only-beginning-to-understand-how-to-use-ai/
• https://knightcolumbia.org/content/ai-as-normal-technology
• https://www.oneusefulthing.org/p/the-bitter-lesson-versus-the-garbage

Startup and ideas : idea browser
• https://www.ideabrowser.com/

Ai and developer impact
• https://touilleur-express.fr/2025/07/31/le-developpement-augmente-un-avis-politiquement-correct-mais-bon/
• Another opinion https://www.ksred.com/ai-for-coding-why-most-developers-are-getting-it-wrong-and-how-to-get-it-right/

Stackoverflow 2025 developer survey
• https://survey.stackoverflow.co/2025

Coordinated progress model
• https://jack-vanlightly.com/blog/2025/7/15/responsibility-boundaries-in-the-coordinated-progress-model

Major architecture concepts
• https://medium.com/@rizkimuhammad2301/major-architecture-concepts-the-indispensable-foundation-for-backend-developers-transitioning-to-2ff996b36a88

The power of sameness
• https://medium.com/@tpierrain/le-pouvoir-de-la-similarit%C3%A9-63a44f40e1e6

Dev

MAD TDD workshop (mob Ai driven Test driven development)
• https://github.com/marcoemrich/mad-tdd-mob-ai-driven

Git expert should try Jujutsu
• https://pksunkara.com/thoughts/git-experts-should-try-jujutsu/

Automated software refactoring with OpenRewrite and Generative AI
• https://www.youtube.com/watch?v=KlQZH6WHa2c

Java performance
• https://www.javaperformancetuning.com/news/news296.shtml
• Some tips https://www.javaperformancetuning.com/news/newtips296.shtml

Qwen3-coder, agentic coding model
• https://www.infoq.com/news/2025/07/qwen3-coder

Tool

Best practices with Cursor
• https://www.camilleroux.com/les-meilleures-pratiques-pour-utiliser-cursor-efficacement-guide-complet/

System design white board
• https://golubrain.com/system-design-whiteboard.html

Jupyter notebook for Java
• https://github.com/jupyter-java

Mitmproxy free open source interactive HTTPS proxy
• https://mitmproxy.org/
• Usage with Github copilot https://medium.com/@svdoever/unveiling-the-secrets-what-vscode-github-copilot-share-with-the-llm-23be5c6955b4

Github copilot workflow
• https://devblogs.microsoft.com/all-things-azure/github-copilot-chat-explained-the-life-of-a-prompt/

Github copilot Agent
• https://ghsioux.github.io/2025/07/15/getting-started-with-copilot-coding-agent

Build secure and scalkable remote mcp servers
• https://github.blog/ai-and-ml/generative-ai/how-to-build-secure-and-scalable-remote-mcp-servers/

Code Rabbit
• https://www.coderabbit.ai/
• https://foojay.io/today/coderabbit-tutorial-for-java-developers/

Ai and Llm

Caude Clode and MCP servers • https://touilleur-express.fr/2025/07/27/claude-code-et-les-serveurs-mcp-ou-comment-transformer-ton-terminal-en-assistant-surpuissant/

Claude code anthropic use cases
• https://www.anthropic.com/news/how-anthropic-teams-use-claude-code

Dev opinion • Hype vs Skeptics https://blog.korny.info/2025/07/19/clowns-to-the-left-of-me
• Use case : https://blog.korny.info/2025/07/18/a-real-world-ai-coding-case-sample
• Dev impact https://blog.pragmaticengineer.com/cursor-makes-developers-less-effective/
• https://railsatscale.com/2025-07-19-ai-coding-agents-are-removing-programming-language-barriers/

Understand reasonning models
• https://magazine.sebastianraschka.com/p/understanding-reasoning-llms

Context engineering
• https://blog.langchain.com/context-engineering-for-agents/

Standford course LLM from scratch
• https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_

Greptile, the Ai code reviewer
• https://www.greptile.com/

Code Climate, ai for developers
• https://codeclimate.com/

ARC Prize
• https://arcprize.org/
• https://www.youtube.com/watch?v=5QcCeSsNRks

Ai research paper Harvard
• https://docs.google.com/document/d/1uvAbEhbgS_M-uDMTzmOWRlYxqCkogKRXdbKYYT98ooc/edit?pli=1&tab=t.0#heading=h.lxp3eg9lr5k9

Study METR about developers productivity with Ai
• https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/

Ai and architecture, SWE
• https://tomassetti.me/do-software-architects-still-matter-in-the-age-of-genai/
• https://tratt.net/laurie/blog/2025/the_llm_for_software_yoyo.html

Ai develop faster but with a cost
• https://www.hashicorp.com/fr/blog/ai-is-making-developers-faster-but-at-a-cost

Claude system prompt
• https://www.oreilly.com/radar/unpacking-claudes-system-prompt/

Ai economic index with anthropic
• https://www.anthropic.com/news/anthropic-partners-with-the-university-of-chicago-s-becker-friedman-institute-on-ai-economic

Ai and philosophy
• https://theses.hal.science/tel-04974628

Various

Blog with llm reflexion
• https://blog.zwindler.fr/2025/06/17/reflexions-blogging-technique-ere-llms/

Projects and developer metrics frameworks
• DORA : https://dora.dev/
• SPACE Framework https://www.microsoft.com/en-us/research/publication/the-space-of-developer-productivity-theres-more-to-it-than-you-think/?wt.mc_id=developermscom and original document https://queue.acm.org/detail.cfm?id=3454124
• DX Core 4 : https://getdx.com/news/introducing-the-dx-core-4/

Staff engineer career
• https://leaddev.com/career-development/where-staff-engineers-move-needle

Ai and developer conference
• https://amsterdam.ai4devs.io/

Some Learning
• https://www.udemy.com/course/rocking-system-design
• https://www.kira-learning.com/ with Andrew Ng as chairman

Clean architecture with Java
• https://foojay.io/today/clean-and-modular-java-a-hexagonal-architecture-approach/

Software is changing (Andrej Karpathy, co founder OpenAi)
• https://www.youtube.com/watch?app=desktop&v=LCEmiRjPEtQ

Martin Fowler about LLM : “LLMs bring new nature of abstraction”
• https://martinfowler.com/articles/2025-nature-abstraction.html

Dev

Profiling with JMH
• https://foojay.io/today/benchmarking-and-profiling-java-with-jmh/

Soft versus hard dependency
• https://www.thecoder.cafe/p/soft-hard-dependency

GPULlama3, GPULlama3.java Brings GPU-Accelerated LLM Inference to Pure Java
• https://www.infoq.com/news/2025/06/gpullama3-java-gpu-llm

Rex Github Copilot
• https://galacticnaut.substack.com/p/from-pair-programmer-to-peer-github-copilots-agentic-vision

http/3 client
• https://blog.ycrash.io/faster-web-applications-with-http3/

Write AI agents in Java
• https://glaforge.dev/posts/2025/05/20/writing-java-ai-agents-with-adk-for-java-getting-started/

Dop (Data Oriented Programming)
• https://www.infoq.com/articles/data-oriented-programming

Research papers about llm and coding
• Survey on Evaluation of LLM-based Agents https://arxiv.org/pdf/2503.16416
• Promptware Engineering: Software Engineering for LLM Prompt Development https://arxiv.org/pdf/2503.02400
• LLMs’ Reshaping of People, Processes, Products, and Society in Software Development: A Comprehensive Exploration with Early Adopters https://arxiv.org/pdf/2503.05012
• SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering https://arxiv.org/abs/2405.15793

Tool

Keystore explorer
• https://keystore-explorer.org/
• https://github.com/kaikramer/keystore-explorer

JFR (Java Flight Record) query tool
• https://mostlynerdless.de/blog/2025/06/25/an-experimental-front-end-for-jfr-queries/
• https://github.com/parttimenerd/jfr-query-experiments

Embabel Vision
• https://medium.com/@springrod/the-embabel-vision-967654f13793

Can it run ? Enough power to run local model (inference, training, Lora)
• https://huggingface.co/spaces/Vokturz/can-it-run-llm

Pack your codebase into AI-friendly formats
• Repomix https://github.com/yamadashy/repomix
• Gitingest https://gitingest.com/

Statsig, platform for product development
• https://www.statsig.com/

Mistral code
• https://www.infoq.com/news/2025/06/mistral-code-assistant
• https://mistral.ai/products/mistral-code

Rex Claude Code usage
• https://spiess.dev/blog/how-i-use-claude-code

Drama OpenRewrite (Moderne)
• https://infosecwriteups.com/when-open-source-isnt-how-openrewrite-lost-its-way-642053be287d

Web privacy service Incogni
• https://incogni.com/

A2A Java SDK
• https://github.com/a2aproject/a2a-java

Ai driven to find your git command
• https://www.gitfluence.com/

Ai and Llm

Coding Darwin Godel machine
• https://sakana.ai/dgm/

Generative AI Outlook Report (European Commission’s Joint Research center)
• https://publications.jrc.ec.europa.eu/repository/handle/JRC142598

Test-Driven Agentic Development: How TDD and Specification-as-Code Can Enable Autonomous Coding Agents
• https://medium.com/@JeffInUptown/test-driven-agentic-development-how-tdd-and-specification-as-code-can-enable-autonomous-coding-6b1b4b7dd816

Introduction Claude4 (Sonnet and Opus)
• https://www.anthropic.com/news/claude-4

Deepcoder llm
• https://www.infoq.com/news/2025/06/deepcoder-outperforms-openai
• https://agentica-project.com/
• https://pretty-radio-b75.notion.site/DeepCoder-A-Fully-Open-Source-14B-Coder-at-O3-mini-Level-1cf81902c14680b3bee5eb349a512a51

Choose your model
• https://www.oneusefulthing.org/p/using-ai-right-now-a-quick-guide

Llms.txt (from Jeremy Howard)
• Source https://llmstxt.org/
• Article https://medium.com/data-science/llms-txt-414d5121bcb3

Various

LLM privacy report
• https://blog.incogni.com/ai-llm-privacy-ranking-2025/

Tech watch tools
• https://www.sfeir.dev/cloud/tech-radar-gardez-un-oeil-sur-le-paysage-technologique/

Futur of developers job
• https://touilleur-express.fr/2025/06/23/ni-manager-ni-contributeur-individuel/

GPU basics knowledge
• https://damek.github.io/random/basic-facts-about-gpus/

McKinsey report on attention market
• https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-attention-equation-winning-the-right-battles-for-consumer-attention

GCP incident
• https://blog.cloudflare.com/cloudflare-service-outage-june-12-2025/
• https://status.cloud.google.com/incidents/ow5i3PPK96RduMcb1SsW
• https://blog.bytebytego.com/p/how-the-google-cloud-outage-crashed

Stanford Online courses
• https://www.clcoding.com/2025/06/game-theory.html
• https://www.clcoding.com/2024/11/machine-learning-specialization.html
• https://www.clcoding.com/2025/06/stanfordonline-computer-science-101.html
• https://www.clcoding.com/2025/06/stanfordonline-databases-advanced.html

Research paper watch tools
• https://www.researchrabbit.ai/
• https://consensus.app/
• https://iris.ai/
• https://scispace.com/fr
• https://scite.ai/

Tool map
• Map of Github https://anvaka.github.io/map-of-github/
• HuggingFace Model Atlas https://huggingface.co/spaces/Eliahu/Model-Atlas

Infrastructure eats strategy
• https://thenewstack.io/infrastructure-eats-strategy/

Plateforme GenAi to experiment
• https://blog.octo.com/cr-grosse-conf-2025-talk-de-ydr-prototyper-l’innovation–framework-et-plateforme-pour-accelerer-la-genai

Trade off between Moduliths vs Microservices
• https://gist.github.com/odrotbohm/b9d77bf02f0072b7142e6ad3b9bd63f7

Dev

Key java language updates (from 2025 to 2025)
• https://www.youtube.com/watch?v=DRCvMAH6-xA

A Keycloak example - building my first MCP server Tools with Quarkus
• https://shaaf.dev/post/2025-05-12-keycloak-mcp-server-quarkus/

Jvm outage study
• https://blog.ycrash.io/jprime-2025-troubleshooting-jvm-outages-3-fortune-500-case-studies/

Ai for developers rex
• https://thenewstack.io/ai-for-developers-how-to-start-what-to-use-and-why-it-matters/

Best llm for code ?
• https://blog.brokk.ai/the-best-llm-for-code/

About developer Ai skeptic
• https://fly.io/blog/youre-all-nuts/

Code smell catalog
• https://luzkan.github.io/smells/

Java API FFM and Jextract
• https://www.youtube.com/watch?v=Rw9VAwfL4Vg&list=PLg4b0rSMICPtid8IgV8EnySKHkNjNJSYR&index=14

Algebric Data Types (ADT)
• https://github.com/c-guntur/algebraic-in-java
• https://jakubpierzchlewicz.medium.com/adt-with-java-sealed-classes-pattern-matching-records-a88ebb3a5200

Yes, you can unit test GenAi applications by Rod Johnson with Embabel
• https://medium.com/@springrod/yes-you-can-unit-test-gen-ai-applications-9b2838bb0f45

Feedback on Ai agent coding all
• https://towardsdatascience.com/zero-human-code-what-i-learned-from-forcing-ai-to-build-and-fix-its-own-code-for-27-straight-days/

Tool

Github copilot Kim-Adeline Miguel talks
• https://www.youtube.com/watch?v=9kE9JWW2Y1k&list=PLTbQvx84FrAQLPD28KiNKGJrDo5MeKxfI&index=110
• https://www.youtube.com/watch?v=-oyZsPCpK-Q&list=PLTbQvx84FrAQLPD28KiNKGJrDo5MeKxfI&index=47

Ai for large codebase Brokk
• https://brokk.ai/

Mise development environment setup tool
• https://mise.jdx.dev/about.html
• https://github.com/jdx/mise
• https://plugins.jetbrains.com/plugin/24904-mise

Azimutt to analyse large Sql databases
• https://azimutt.app/

MCP for beginner
• https://github.com/microsoft/mcp-for-beginners/

Some MCP servers
• Bright Data: https://github.com/luminati-io/brightdata-mcp
• Graphiti: https://github.com/getzep/graphiti/tree/main/mcp_server
• GitIngest: https://github.com/puravparab/Gitingest-MCP
• Terminal: https://github.com/wonderwhy-er/DesktopCommanderMCP
• Python code: https://github.com/bazinga012/mcp_code_executor
• MindsDB: https://github.com/mindsdb/mindsdb

Zed, ai code editor
• https://zed.dev/

Stitch, ai web and mobil design
• https://stitch.withgoogle.com/
• https://developers.googleblog.com/en/stitch-a-new-way-to-design-uis/

Open Agent Platform is a no-code agent building platform from langchain
• https://github.com/langchain-ai/open-agent-platform

VmLens test multithreaded concurrent Java
• https://github.com/vmlens/vmlens

Claude Squad, terminal app that manages multiple Claude Code, Codex (and other local agents including Aider) in separate workspaces, allowing you to work on multiple tasks simultaneously.
• https://github.com/smtg-ai/claude-squad

Ai and Llm

Agentic AI: A Progression of Language Model Usage
• https://www.youtube.com/watch?v=kJLiOGle3Lw

12 factor agent coding
• https://github.com/humanlayer/12-factor-agents

Models usage
• https://docs.github.com/en/copilot/using-github-copilot/ai-models/choosing-the-right-ai-model-for-your-task
• https://help.openai.com/en/articles/11165333-chatgpt-enterprise-models-limits
• https://blog.brokk.ai/the-best-llm-for-code/

Prompt Engineering
• https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api
• https://platform.openai.com/docs/guides/text?api-mode=responses

Llm explained with minimum of math
• https://www.understandingai.org/p/large-language-models-explained-with

Ollama for multimodal models
• https://ollama.com/blog/multimodal-models

Devstral from Mistral Ai coding agent
• https://mistral.ai/fr/news/devstral

Llm, foundations of Large Language Models
• https://arxiv.org/pdf/2501.09223

ChatGpt memory
• https://simonwillison.net/2025/May/21/chatgpt-new-memory/

Create a llm as a judge
• https://hamel.dev/blog/posts/llm-judge/

How to evaluate a llm
• https://medium.com/data-science-at-microsoft/evaluating-llm-systems-metrics-challenges-and-best-practices-664ac25be7e5

Open models in China
• https://aiproem.substack.com/p/has-china-gone-all-in-on-open-source

Invest in infra dedicated to Ai
• https://aiproem.substack.com/p/the-big-fours-ai-scorecard-q1-25

Various

Github repository wiki Ai generated
• https://deepwiki.com/

Oreilley and NLWeb
• https://www.oreilly.com/pub/pr/3471
• https://github.com/microsoft/NLWeb
• https://news.microsoft.com/source/features/company-news/introducing-nlweb-bringing-conversational-interfaces-directly-to-the-web/

Fighters, Bards, Druids and Wizards in It – how to talk to them ?
• https://www.youtube.com/watch?v=ZwDdVhiXjO4&list=PLTbQvx84FrAQLPD28KiNKGJrDo5MeKxfI&index=40
• Slides https://drive.google.com/file/d/1Eo2p4iAe5jsk9rG2EcJPy5vDywDUmhpL/view

Stanford Ai index
• https://hai.stanford.edu/ai-index

Ai business overview, Ai eats the world from Benedict Evans
• https://www.ben-evans.com/presentations

Engineering papers
• https://www.cs.cmu.edu/~crary/819-f09/Landin66.pdf
• Tla+ https://lamport.azurewebsites.net/tla/tla.html
• Functional prog https://curtclifton.net/papers/MoseleyMarks06a.pdf

Vibe coding bad effect
• https://uxdesign.cc/the-perverse-incentives-of-vibe-coding-23efbaf75aee

Deep research with llm (perplexity, …)
• https://leehanchung.github.io/blogs/2025/02/26/deep-research/

Hugging Face learning courses
• https://huggingface.co/learn

Getting started

Certification : https://examregistration.github.com/certification/COPILOT
Get the study guide : https://resources.github.com/learn/certifications/
Documentation : https://docs.github.com/en/copilot

Github certification handbook : https://examregistration.github.com/handbook
Github Blog : https://github.blog/
Github Copilot Essential : https://resources.github.com/learn/pathways/copilot/essentials/essentials-of-github-copilot/

Github copilot plans :

• Plans https://docs.github.com/en/copilot/about-github-copilot/plans-for-github-copilot
• Another Plans https://github.com/features/copilot/plans
• Features https://docs.github.com/en/copilot/about-github-copilot/github-copilot-features

RoadMap

• ChangeLog
• What’s new
• Jetbrain plugin

Some Github Copilot LLM History : https://github.blog/ai-and-ml/github-copilot/inside-github-working-with-the-llms-behind-github-copilot/

Prepare

Github Copilot tutorials

• https://github.com/features/copilot/tutorials
• Microsoft Github Copilot Office Hours

Microsoft learn :

• To prepare https://learn.microsoft.com/en-us/training/paths/copilot/
• To prepare https://learn.microsoft.com/en-us/training/paths/accelerate-app-development-using-github-copilot/
• Go further : https://learn.microsoft.com/fr-fr/training/paths/gh-copilot-2/
• All material https://learn.microsoft.com/fr-fr/training/browse/?products=github&expanded=artificial-intelligence&terms=Copilot
  (course https://learn.microsoft.com/fr-fr/training/courses/gh-300t00)

Oreilly

• https://learning.oreilly.com/certifications/?vendortype=121&certificationtypes=565
• live event Github copilot certification crash course
  • https://learning.oreilly.com/live-events/github-copilot-certification-crash-course/0642572013405/0642572013404/
  • https://github.com/timothywarner/copilot-cert-prep/tree/main/tests
• Mock Exam : https://learning.oreilly.com/certifications/9780135426777/

School repo and projects

• Microsoft Github Copilot repositories
  • GitHub Copilot Global Bootcamp (entry point for various education repositories)
  • Mastering GitHub Copilot
  • GitHub Copilot Vibe Coding Workshop
  • Github Copilot Hackaton (sample of little dev)
  • Github copilot migrating language sample
  • Github copilot workshop (Java) and full correction
• External
  • https://github.com/orsharon7/github-copilot-masterclass/tree/main
  • https://github.com/dc24aicrew/copilot-demo-spring-taskmanager/tree/main
    External tutorial
• Community material : https://github.com/orgs/community/discussions/144443
• https://moaw.dev/workshop/gh:Philess/GHCopilotHoL/main/docs/?step=0 and https://github.com/Philess/gh-copilot-demo
• Tutorial https://pretius.com/blog/github-copilot-tutorial/
• Article https://alexmanrique.com/blog/development/2024/03/08/using-github-copilot-with-java-intellij.html

Rex on certification

• https://www.reddit.com/r/GithubCopilot/comments/1gktk9z/passed_the_github_copilot_certification/
• https://medium.com@letsdothisnow/github-copilot-certification-87f29b6704d6/

Go further

Choose the right underlying model : https://docs.github.com/en/copilot/using-github-copilot/ai-models/choosing-the-right-ai-model-for-your-task
Github Copilot Features https://docs.github.com/en/copilot/about-github-copilot/github-copilot-features
Measuring impact : https://resources.github.com/learn/pathways/copilot/essentials/measuring-the-impact-of-github-copilot/
Video : use your repo as RAG https://www.youtube.com/watch?app=desktop&v=MqBBEgpYh0Y
Github copilot prompt path and track

• https://devblogs.microsoft.com/all-things-azure/github-copilot-chat-explained-the-life-of-a-prompt/
• https://medium.com/@svdoever/unveiling-the-secrets-what-vscode-github-copilot-share-with-the-llm-23be5c6955b4 and tool https://mitmproxy.org/#mitmweb
  Github Copilot Agent
• https://ghsioux.github.io/2025/07/15/getting-started-with-copilot-coding-agent

Github copilot instruction file

Github copilot instruction file (aka copilot-instructions.md) :

• Tips to build your instruction file https://github.blog/ai-and-ml/github-copilot/5-tips-for-writing-better-custom-instructions-for-copilot/
• https://medium.com/@anil.goyal0057/mastering-github-copilot-custom-instructions-with-github-copilot-instructions-md-f353e5abf2b1
• https://github.com/Code-and-Sorts/awesome-copilot-instructions
• https://github.com/SebastienDegodez/copilot-instructions
• https://github.com/fielding/copilot-instructions
• https://github.com/github/awesome-copilot

How to use those files with Jetbrain : https://devblogs.microsoft.com/java/customize-github-copilot-in-jetbrains-with-custom-instructions/

Sample :

• https://github.com/dc24aicrew/copilot-demo-spring-taskmanager/tree/main

Github copilot people

Kim-Adeline Miguel : https://github.com/kimadeline (and Devoxx 2025 talks https://www.devoxx.fr/agenda-2025/speaker/kim-adeline-miguel/)

Her Devoxx Paris 2025 talks

• Dans les coulisses de Copilot : Contexte + LLM + perf + sécurité
• GitHub Copilot : Aller encore plus loin que la completion de code

Arxiv : free distribution service and an open-access archive for 2,267,263 scholarly articles
https://arxiv.org/

Sciencedirect revue académique (https://fr.wikipedia.org/wiki/ScienceDirect)
https://www.sciencedirect.com/

Papers with code : article et code lié
https://paperswithcode.com/

ConnectedPapers Visual graph of connection between reserach documentation
https://www.connectedpapers.com/about

Google Scholar : article et publication scentifiques (https://fr.wikipedia.org/wiki/Google_Scholar)
https://scholar.google.com/

Springer : publication académique (https://fr.wikipedia.org/wiki/Springer_Publishing)
https://link.springer.com/

ACM Digital library. ACM (Association for Computing Machinery) is an umbrella organization for academic and scholarly interests in computer science (https://en.wikipedia.org/wiki/Association_for_Computing_Machinery#Digital_Library)
https://dl.acm.org/

ACM communication (open access)
https://cacm.acm.org/

HAL plateforme en ligne développée par le CNRS pour les publications scientifiques
https://hal.science/

Researchgate (https://fr.wikipedia.org/wiki/ResearchGate)
https://www.researchgate.net

Daedalus, an open access publication of the American Academy of Arts & Sciences
https://www.amacad.org/daedalus

Services to browse research papers

Research Rabbit
Consensus
Iris Ai
SciSpace
Scite

High level engineering conferences

FSE (Foundations of Software Engineering) : https://conf.researchr.org/series/fse

ACM SigSoft Special Interest Group on Software Engineering) : https://www2.sigsoft.org/

ICSE (International Conference on Software Engineering ) http://www.icse-conferences.org/

VLDB (Very Large Database) : https://www.vldb.org/

What is Architecture
• https://blog.scottlogic.com/2025/04/24/what-is-architecture.html

Dev

Transform Spring REST to MCP Services
• https://addozhang.medium.com/one-command-to-transform-legacy-spring-rest-api-into-mcp-services-in-seconds-with-openrewrite-dbaf0e8e68fe
• https://github.com/addozhang/spring-rest-to-mcp

Github Copilot demo :
• https://moaw.dev/workshop/gh:Philess/GHCopilotHoL/main/docs/?step=0
• https://github.com/Philess/gh-copilot-demo

Building Ai system with Java
• https://foojay.io/today/building-formpilot-my-journey-creating-an-ai-powered-form-filler-with-rag-langchain4j-and-ollama/
• https://foojay.io/today/local-ai-with-spring-building-privacy-first-agents-using-ollama/

Why (where) Spring is using Bubble sort
• https://poutsma-principles.com/blog/2025/04/29/bubble-sort-in-spring/

Handling large dataset managing memory
• https://blog.heaphero.io/handling-large-datasets-without-running-out-of-memory/

Learn to code, ignore AI, then use AI to code even better
• https://kyrylo.org/software/2025/03/27/learn-to-code-ignore-ai-then-use-ai-to-code-even-better.html

How cursor indexes codebase
• https://read.engineerscodex.com/p/how-cursor-indexes-codebases-fast

State of coding the future with Java and Ai
• https://devblogs.microsoft.com/java/the-state-of-coding-the-future-with-java-and-ai/

Tool

Daytona, a secure, scalable runtime for AI-generated code execution and agent workflows.
• https://www.daytona.io/
• https://github.com/daytonaio

Wanaku MCP Router stands between autonomous AI agents and your enterprise systems
• https://www.wanaku.ai/
• https://github.com/wanaku-ai/

Inspector, tool for testing and debugging MCP servers.
• https://github.com/modelcontextprotocol/inspector

Infisical, All-in-one platform to securely manage application secrets, certificates, SSH keys, and configurations across your team and infrastructure
• https://infisical.com/
• https://github.com/Infisical/infisical

AugmentCode
• https://www.augmentcode.com/

Nix vs Docker
• https://thenewstack.io/kelsey-hightower-on-nix-vs-docker-is-there-a-different-way/

Coding and ai
• https://blog.thepete.net/blog/2025/04/14/chain-of-vibes/

Uv, an extremely fast Python package and project manager, written in Rust.
• https://docs.astral.sh/uv/
• https://github.com/astral-sh/uv
• https://blog.ippon.fr/2025/05/12/uv-un-package-manager-python-adapte-a-la-data-partie-1-theorie-et-fonctionnalites/

Ai and Llm

Ai integrated in IDE’s
• https://itnext.io/can-junie-be-a-real-competitor-for-cursor-windsurf-and-vs-code-copilot-a6202660f477

Mcp discussion, we made an MCP Server so Cursor can build things from REST API docs
• https://news.ycombinator.com/item?id=43459240

Ai protocols (Mcp, Acp, A2A)
• https://medium.com/@cmadhu_in/mcp-acp-and-a2a-communication-protocols-in-intelligent-systems-0d4e8827ec56

Software development benchmark
• https://www.swebench.com/

Prompt injection
• https://arstechnica.com/information-technology/2025/04/researchers-claim-breakthrough-in-fight-against-ais-frustrating-security-hole/

Self improving llm architecutres
• https://www.rohan-paul.com/p/self-improving-llm-architectures

LLM for unit test code
• https://research.redhat.com/blog/2025/04/21/choosing-llms-to-generate-high-quality-unit-tests-for-code/
• https://arxiv.org/html/2406.18181v2

Byte latent Transformer
• Research paper : https://arxiv.org/abs/2412.09871
• https://ai.meta.com/research/publications/byte-latent-transformer-patches-scale-better-than-tokens/
• Code : https://github.com/facebookresearch/blt
• Article https://www.digitalocean.com/community/tutorials/what-is-byte-latent-transformer
• Article https://medium.com/autonomous-agents/are-byte-level-transformers-truly-byte-level-9b53feb88ca9

Various

Culture and methods trends
• https://www.infoq.com/articles/culture-trends-2025

First RUST specification
• https://rustfoundation.org/media/ferrous-systems-donates-ferrocene-language-specification-to-rust-project/

Rust in Linux Kernel
• https://thenewstack.io/rust-linux-and-cloud-native-computing/

Math for Computer Science
• https://faculty.ksu.edu.sa/sites/default/files/%5BBook%5D%20Discrete%20mathematics%20and%20its%20applications%20%282019%29_0.pdf

Tech watch, my method
• https://www.camilleroux.com/la-veille-technologique-ma-methode-complete-pour-rester-a-jour/

Programming language ranking :
• Redmonk https://redmonk.com/sogrady/category/programming-languages/
• Tiobe index https://www.tiobe.com/tiobe-index/
• Octoverse https://octoverse.github.com/
• PyPL https://pypl.github.io/PYPL.html
• Ieee Spectrum https://spectrum.ieee.org/top-programming-languages-2024
• Stack overflow survey https://survey.stackoverflow.co/2024/
• Jetbrain development ecosystem https://www.jetbrains.com/lp/devecosystem-2024/
• Hackerrank https://www.hackerrank.com/blog/most-popular-languages-2024/