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Articole: 15
  1. I avoided running agents with real access for a year.

  2. Building multi-channel AI agents means dealing with APIs that silently fail.

  3. Set up automated Kamal deployments with 1Password secrets management.

  4. Two quick fixes for cryptic APT hash mismatches and missing moby packages when building devcontainers on Debian Trixie.

  5. Give your coding agent a browser and a markdown script.

  6. Step-by-step guide to rendering OpenAI ChatKit MCP tool results as rich UI widgets in a Ruby on Rails app using server-side hydration and SSE streaming.

  7. Setting Agents Up to Succeed

    The difference between good and bad AI coding sessions isn't the model.

  8. What Makes an App AI-Native?

    AI-native apps aren't about having AI features.

  9. MCP's Auth Problem

    The MCP spec expects oauth at connect time, before you know what tools you need.

  10. What I learned from 12 months of coding with AI agents—and why I built isolated dev environments to make them actually useful.

  11. A deep dive into implementing preview environments for pull requests using Kamal deployment, PostgreSQL schema isolation, and GitHub Actions automation.

  12. A deep dive into implementing Model Context Protocol (MCP) servers in a Rails application, covering remote HTTP, native Ruby, and Docker subprocess approaches.

  13. This week's learning log covers HumanLayer's 12-Factor Agent patterns, layered prompt injection defenses, and the architecture behind production-ready voice interfaces.

  14. A story about how I figured out my running shoes with the help of AI after struggling with knee pain and bad advice.

  15. Returning to the Blank Page

    I used to write to learn, to reflect.