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Articole: 23
  1. Pi: A Coding Agent That Gets Out Of The Way

    Pi is a minimal terminal coding agent that can read, edit and run code - but its real strength is how easily you can adapt it to your own workflow.

  2. 2025: A Look Back

    A look back at 2025 from the perspective of a web developer - who's both excited about AI and not always thrilled about it

  3. Meta AI Layoffs: The End Of The AI Hype?

    After gong on a hiring spree for 100s of millions this summer, Meta's 600 people layoff seems surprising.

  4. I Built An AI Business Headshots Service

    Naturally, as a developer in need of a professinal business headshot, I built an entire AI business headshots service.

  5. Gemma 3n May Be Amazing

    Gemma 3n is a new open large language model by Google that combines two models into one, offers multimodal capabilities, and runs locally with reduced memory requirements.

  6. My Top 5 Ways of Using Generative AI and LLMs

    You can get more done by leveraging LLMs and generative AI.

  7. AI Has A Favorite Tech Stack. That's A Problem!

    Large Language Models (LLMs) are great at generating code, but they often default to a narrow set of technologies.

  8. Using Open LLMs On-Demand via Bedrock

    Running open LLMs locally or self-hosting them is great, but it can be a hassle (AND may require significant resources).

  9. Why LLMs Need GPUs and VRAM

    Many large language models (LLMs) can be run on your own computer.

  10. The Danger of Relying Too Much on AI

    AI coding assistants are powerful tools, and, to some extent, they can replace developers.

  11. Mixture of Experts (MoE) vs Dense LLMs

    Mixture of Experts (MoE) LLMs promise faster inference than traditional Dense models.

  12. Don't Sleep On Running Open LLMs Locally

    You don't need ChatGPT or Google Gemini for everything.

  13. Making Sense of Quantization

    Quantization is a technique that essentially "compresses" the weights of a LLM, hence allowing it to run on way less (V)RAM than it would otherwise need.

  14. Server-sent Events (SSE): The Champion Nobody Knows

    You might not need WebSockets!

  15. Making Sense of Google's A2A Protocol

    Google's new A2A (Agent-to-Agent) Protocol aims to standardize how different AI agents communicate.

  16. AI-powered Development: The Good Parts

    AI can boost developer productivity - it's not just marketing.

  17. Looking Beyond the Hype: What's MCP All About?

    There's a new buzzword in AI-town: MCP - or 'Model Context Protocol'.

  18. What Are "Machine Code" & "Byte Code" Anyways?

    You often hear (and maybe even say) it: Something compiles to "machine code".

  19. TypeScript in Go: Why Not Rust?

    The TypeScript team shared that they're porting their compiler and type checker to Go.

  20. Vibe Coding Is NOT My Future

    Vibe coding, a term coined by Andrej Karpathy, is all about letting LLMs generate code for you.

  21. Use AI Assistants With Care

    AI is here to stay and it WILL likely replace developers.

  22. Modern Node.js Can Do That?

    Chances are high that you're using unnecessary third-party libraries.

  23. Making Sense of tsconfig

    The tsconfig.json file is a file most developers aren't touching.