Walk on the web flow

the goal is to leave some links that seem interesting to me (but also to share them)

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25 June 2025

Walk on the web flow 20250625

by snonov

Architecture

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

tags: Statsig - Product - Platform - Testdriven - Tdd - Agentic - Codingagent - Mistral - Claude - Claudecode - Stanford - Gametheory - Report - Europe - Ai - Network - Latency - Http3 - Aiagent - Java - Gcp - Incident - Claude - Claude4 - Opus - Sonnet - Openrewrite - License - Github - Copilot - Moderne - Dop - Dataorientedprogramming - Researchpapers - Research - Agent - Deepcoder - Mckinsey - Report - Attention - Repomix - Codebase - Ollama - Inference - Training - Gpu - Model - Choose - Hexagonal - Java - Augmenteddeveloper - Darwin - Godel - Techwatch - Privacy - Incogni - Andrejkarpathy - Openai - Martinfowler - Abstraction - Embabel - Rodjohnson - Gitingest - Llmstxt - Jeremyhoward - A2a - Jfr - Javaflightrecord - Git - Gitfluence - Keystore - Security - Explorer - Map - Huggingface - Models - Githubcopilot - Jmh - Profiling