Walk on the web flow 20251229
by snonov
Architecture
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