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  1. AI Engineering is not just prompting or model selection.

  2. Shipping faster should not be your end goal!

  3. Hermes + GPT-5.5, will it work?

  4. AI as an accelerant, shifting left on intent, and the rise of T-shaped roles.

  5. Time to test Hermes.

    Time to test Hermes.

  6. Building Jarvis

    For the past few months I’ve been hacking on Jarvis in the evenings: a small Go agent that gives an LLM a handful of local tools (read files, run shell, spawn sub-agents, that kind of thing).

  7. Goodbye GitHub Copilot, Hello Cursor.

  8. JS vs TS while testing the Cursor SDK.

  9. Another Friday night project!

  10. I spent years using AI without really believing in it.

  11. My main issue with AI is that it is still too dependent on me.

  12. TIL: People are saying it will be harder to learn Software Engineering if you delegate the implementation to Agents.

  13. This is tomorrow and you are still in time to join us.

  14. Two months have passed since my post about “Taste,” and @Catherine Wu just said this in a recent interview:

  15. NVIDIA Jetson Thor 🤔

    NVIDIA Jetson Thor 🤔

  16. I’ve canceled my GitHub Copilot subscription and I’m missing it already.

  17. Another 3 days and I’m canceling my annual GitHub Copilot subscription and asking for a refund

  18. TIL: I’m taking the “Building with Claude API” course on Anthropic’s Skilljar and just learned a nice trick: using assistant messages and stop_sequences to extract structured data.

  19. Remember when everyone was worried AI would take our jobs?

  20. Project Jarvis: Why I Decided to Build My Own AI Assistant

  21. Another evening, another feature for Jarvis.

  22. What better way to spend a couple of hours on Easter Monday than testing the new Gemma-4 with Claude Code via LM Studio?

  23. You can now run Gemma 4 locally on your phone!

  24. My Friday evening was spent hitting a key architectural milestone for “Jarvis,” the agent I’ve been developing on top of my langchain-go (link in the comments) project.

  25. I’m not really an “orchestrate multiple AI agents in parallel” kind of person.

  26. This is about YOUR data and AI.

  27. Hey @Cursor team, I believe there is a bug in the editor regarding model selection.

  28. CAREFUL: You’ll see this and you’ll start testing the new model.

  29. Plan mode is NOT enough!

  30. Creating it has never been so easy.

  31. So, you finally caved to the AI hype.

  32. Watch a swarm of agents in action in less than 10 minutes!

  33. I wrote about this here: https://lnkd.in/dWBbes8G

  34. Please Stop Force-Feeding AI FOMO to Others!

  35. AI FOMO

    Please Stop Force-Feeding AI FOMO to Others!

  36. This is what I mean when I say we are actively using AI at @Nearform.

  37. LLM (Large Lanziani Models)

    LLM (Large Lanziani Models)

  38. “Less is more” holds even truer in the AI-assisted coding era.

  39. We’re just 7 hours away!

  40. What I took away from the 1st Forum on Artificial Intelligence for Industry.

  41. Continuing my series of Friday night experiments, this Friday I was on a train from Milan, returning from the First Italian Forum on Artificial Intelligence for Industry.

  42. Attending the First Italian Forum on Artificial Intelligence for Industry.

  43. Continuing my series of Friday night experiments, this Friday I was on a train from Milan, returning from the First Italian Forum on Artificial Intelligence for Industry.

  44. “SWE will be replaced by AI in 2-3 years” - Dario Amodei.

  45. Local AI models will win

    Yesterday, Kelsey Hightower shared a post from David Crawshaw.

  46. AI taste

    Start developing your “AI taste”.

  47. We are giving developers Ferrari engines (AI Agents), but is the rest of your SDLC still driving a go-kart?

  48. Today, we are all talking about AI and the magical things it can do.

  49. Software is exiting again!

    I haven’t had this much fun in 10 years!

  50. QA Avalanche

    The biggest bottleneck in the AI-Native SDLC isn’t just writing the code.