Walk on the web flow 20250611
by snonov
Architecture
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