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akashtndn

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  1. Loose opinions on future of software, developers and corporations (akashtandon.in)
    1 points 1
  2. Abundant Software, Uncertain Economics (akashtandon.in)
    1 points 0
  3. Show HN: Ek Din – interactive website to experience Indian 90s nostalgia (ek-din.com)

    I built this website after some recent viral Astra/Opus generated content reminded me of an old side project idea I'd given up on. The content should be particularly nostalgic and hopefully comforting for people who…

    1 points 0
  4. Harnesses are everything: Here's how to optimize yours. (baseten.co)
    1 points 0
  5. The Craft of Software Scoping (akashtandon.in)
    1 points 0
  6. Embedding OpenAI Codex: The App Server and SDKs (akashtandon.in)
    1 points 0
  7. Stagehand: The AI-Driven Browser Automation Framework (akashtandon.in)
    1 points 0
  8. Show HN: Explain this – agent skills to create HTML explainer for topics or code (github.com)

    Over the last few months, I have frequently created HTML explainers using coding agents when trying to understand new topics or exploring codebases. Nothing fancu but the approach has been helpful. Some examples are…

    5 points 0
  9. Turning Strava data and gym photos into a training recap with my coding agent (akashtandon.in)
    1 points 0
  10. Debugging in the Age of Agents (akashtandon.in)
    4 points 0
  11. Fine-tune FLUX.2 [Klein] with a LoRA under 60 minutes (huggingface.co)
    1 points 0
  12. Superpowers: The Anatomy of an Agent Skill (akashtandon.in)
    2 points 0
  13. Autotrader – paper trading AI agent for Indian equities (github.com)
    1 points 0
  14. Awesome Neuroscience (github.com)
    20 points 0
  15. Autotrader: An autonomous paper trading agent, two weeks in (akashtandon.in)
    3 points 0
  16. Artemis II: Why Going Back to the Moon Is a Big Deal (akashtandon.in)
    1 points 0
  17. DSPy: Programming – Not Prompting – Language Models (akashtandon.in)
    2 points 0
  18. Firestore Schema Visualizer (github.com)
    1 points 0
  19. Interactive Explainer: Pi and OpenClaw (akashtandon.in)
    1 points 0
  20. Fal-AI-skill: Claude Code plugin for working with fal AI (github.com)
    1 points 0
  21. Four Years a Founder: Time (akashtandon.in)
    3 points 0
  22. A 7-Step Guide for doing UX research for AI features (looppanel.com)
    1 points 0
  23. Lessons from building an AI feature that works – chunking and summarization (akashtandon.in)
    2 points 0
  24. Firestore schema visualizer: Schema visualization using GPT-4 and PlantUML (github.com)
    3 points 0
  25. What's the best explanation for LLMs being almost right when citing sources?

    For example, I asked GPT-4 to identify the source for a quote from a short story by Edgar Allan Poe. It correctly identified the author but not the title. What's the best available explanation for such behavior by LLMs?

    14 points 11