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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29 September 2025

Walk on the web flow 20250929

by snonov

Architecture

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/

tags: Ai - Tool - Google - Context - Inspector - Llm - Choose - Llm - Pair - Ronjeffries - Grok - Codefast1 - Java - Flowprocessor - Reactive - Agent - Tools - Misconception - Mcp - Hiring - Engineer - Vibecoding - Risk - Agent - Designpattern - Marketmap - Contextengineering - Tdd - Api - Playwright - Interview - Performance - Scale - Github - Speckit - Algorithm - Visualizer - Java25 - Profiling - Benchmark - Valhalla - Traffic - Claudecode - Framework - War - Vibecoding - Hallucination - Openai - Vercel - Developer - Statistics - Gateway - Aigateway - Morganstanley - Calm - Java - Jvmls - Briangoetz - Guysteele - Growingalanguage - Paper2agent - Finetuning - Architecturepattern - Vladimirzakharov - Designprinciples