Walk on the web flow 20250306
by snonov
Architecture
Wardley mapping
• https://lethain.com/wardley-mapping/
• https://touilleur-express.fr/2024/10/22/the-robinson-projection-comprendre-son-systeme-dinformation/
MCP Model Context Protocol
• https://www.anthropic.com/news/model-context-protocol
• https://github.com/modelcontextprotocol
• https://www.baeldung.com/spring-ai-model-context-protocol-mcp
Dev
Kata container
• https://github.com/kata-containers/kata-containers
Anki flash card generation with Ai
• https://ankiweb.net/shared/info/1915225457
• Product https://anki-decks.com/
Java Streams in detail
• https://daniel.avery.io/writing/the-java-streams-parallel
• https://developer.ibm.com/series/java-streams/
Java 24 news
• https://www.loicmathieu.fr/wordpress/en/informatique/java-24-quoi-de-neuf/
Java performance update
• https://www.youtube.com/watch?v=rXv2-lN5Xgk
Refactoring to DOP (Data Oriented Programming)
• https://github.com/JosePaumard/2025_Jfokus-DOP-Amber-lab/tree/Step-00-Initial-application/D_Data-oriented-programming
VirtualThread and Reactive programming
• https://speakerdeck.com/josepaumard/are-virtual-threads-going-to-make-reactive-programming-irrelevant
Llm apps in Java
• https://shaaf.dev/post/2025-02-05-a-handson-guide-to-building-llm-apps-in-java-with-jakarta/
Llm for IaC
• https://medium.com/gft-engineering/evaluating-llms-for-infrastructure-as-code-9f8b9ac4ca33
Trisha Gee talk next step playtime
• https://trishagee.com/presentations/next-step-play-time/
Debugging Java in production by Jean-Philippe Bempel
• https://ginnieandfifounet.com/jpb/slides/Production_Debugging.pdf
• Java agent source code https://github.com/DataDog/dd-trace-java/tree/master/dd-java-agent/agent-debugger
Java Garbage collector
• https://tschatzl.github.io/2025/02/21/new-write-barriers.html
What role does llm reasoning play for software task ?
• https://martinfowler.com/articles/exploring-gen-ai.html#memo-12
Bolt usage for developers
• https://thenewstack.io/how-developers-are-using-bolt-a-fast-growing-ai-coding-tool/
Tool
Opentelemetry and Jaeger
• https://medium.com/@fadhilhan01/tracing-your-system-with-jaeger-and-opentelemetry-c22f31ff3039
Continue, open-source AI code assistant
• https://github.com/continuedev/continue
Polars open-source library for data manipulation
• https://pola.rs/
Jtaccuino, Java and JavaFX noebook
• https://github.com/jtaccuino/jtaccuino
FerretDb, open source alternative to MongoDb
• https://www.ferretdb.com/
• https://www.infoq.com/news/2025/02/ferretdb-documentdb
DSPy framework for programming—rather than prompting—language models
• https://dspy.ai/
• https://introductory.medium.com/the-model-development-lifecycle-with-llms-and-dspy-aea5d107273a
Ai and Llm
Augmented developer
• Ai and design course : https://www.udemy.com/course/software-and-system-diagrams-using-chatgpt-ai-and-mermaid/
EpochAi research institute
• https://epoch.ai/trends
Deepseek tehcnical overview
• https://martinfowler.com/articles/deepseek-papers.html
• https://blog.octo.com/octo-comprendre-les-mecanismes-derriere-le-modele-deepseek-r1-(partie-1)
Event LLM for code
• https://llm4code.github.io/2024/speakers/
• Topic https://llm4code.github.io/2024/call/
• https://llm4code.github.io/2024/slides/BigCode-LLM4Code.pdf
• https://llm4code.github.io/2024/slides/CodeLlama-LLM4Code.pdf
Github copilot certification
• https://resources.github.com/learn/certifications/
• Handbook : https://examregistration.github.com/handbook
• Documentation : https://docs.github.com/en/copilot
• Microsoft learn path : https://learn.microsoft.com/en-us/training/paths/copilot/?wt.mc_id=github_inproduct_copilotfoundations_mslearn_ghcertregistration
• https://github.com/timothywarner/copilot-cert-prep
• https://learning.oreilly.com/certifications/?vendortype=121&certificationtypes=565
• Udemy course
○ https://www.udemy.com/course/practice-exams-github-copilot-certificate/?couponCode=LETSLEARNNOW
○ https://www.udemy.com/course/github-copilot-practice-exams/?referralCode=9061F56B9E7A83254D0F&couponCode=LETSLEARNNOW
Nice vectors, embeddings insterest explanation in Ai
• https://momjian.us/main/writings/pgsql/trenches.pdf
Llm vs JEPA
• Yann Lecun paper https://openreview.net/pdf?id=BZ5a1r-kVsf
• https://medium.com/autonomous-agents/enhancing-llms-reasoning-through-jepa-a-comprehensive-mathematical-deep-dive-301ec9c4d6f2
• https://rohitbandaru.github.io/blog/JEPA-Deep-Dive/
• https://www.turingpost.com/p/jepa
Multiple models in one environment
• https://deepinfra.com/
• https://openrouter.ai/
• https://github.com/marketplace/models/
Working structured data with llm (json)
• https://medium.com/@d.zagirowa/forcing-llm-json-outputs-how-to-make-llm-output-complex-jsons-a8bb00e87f71
LLM distributed training techniques
• https://medium.com/@r9644360/overview-of-popular-distributed-training-techniques-for-large-models-1531200d5673
Plug and play on you model
• Gpt4All https://www.nomic.ai/gpt4all and https://github.com/nomic-ai/gpt4all
• ChatbotUI https://www.chatbotui.com/fr and https://github.com/mckaywrigley/chatbot-ui
• LmStudio https://lmstudio.ai/
Mixture of expert (MoE)
• https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-mixture-of-experts
Road to LLM in 12 papers
• https://www.gorfou.fr/le-chemin-vers-les-llm-via-12-papiers-de-recherche/
Reasearch papers statistics
• https://vaguegenerative.com/prisme.html
LLM Training across GPUs
• https://www.infoq.com/news/2025/03/huggingface-ultra-scale-playbook
• https://huggingface.co/spaces/nanotron/ultrascale-playbook?section=profiling_the_memory_usage
Various
Tracking with ad apps
• https://timsh.org/tracking-myself-down-through-in-app-ads/
Context switching
https://newsletter.techworld-with-milan.com/p/context-switching-is-the-main-productivity
Research and papers
• https://www.bib.minesparis.psl.eu/appui-recherche/hal/
• https://journals.openedition.org/hrc/6330?lang=en
• arXiv https://arxiv.org/
• HAL https://hal.science/
• OpenAIRE https://www.openaire.eu/