Field notes from the AI-native SDLC.

What I'm learning shipping agent-built software in production: debugging loops, throughput math, the metrics that actually move.

May 19, 2026

The Lazy Boundary

  1. May 14, 2026

    Rebuilding the SDLC for AI Throughput

  2. May 14, 2026Pythonpytest

    Anatomy of a Two-Day Pytest Debugging Loop

  3. Apr 24, 2026Software Engineeringengineering leadership

    75% Is the Wrong Metric

  4. Apr 21, 2026AI#ai-tools

    Claude 4.7 Will Quietly Break Your Prompts and Harness. Here's How to Fix Them.

  5. Apr 7, 2026AISDLC

    The Power of Constraints

    A Small Experiment in Skipping the Engineering Team

  6. Apr 3, 2026AISoftware Engineering

    Your Engineering Floor Stopped Coding. Now What?

  7. Apr 2, 2026AISoftware Engineering

    This Week in AI Infrastructure: Custom Agent Training, Open-Source Voice, and the End of robots.txt

  8. Apr 1, 2026AISoftware Engineering

    A Text File Beats an Intelligent Agent (And the Data Proves It)

  9. Mar 31, 2026AISoftware Engineering

    The Real Lesson From GitHub's PR Ads Debacle

  10. Mar 31, 2026AIRAG

    The Retrieval Layer Just Became an Agent

  11. Mar 30, 2026AIcybersecurity

    Stanford Just Made AI Agent Containment a One-Liner

  12. Mar 26, 2026AISoftware Engineering

    AI Doesn't Have a Generation Problem. It Has a Verification Problem.

  13. Mar 24, 2026AISoftware Engineering

    Your AI Coding Tool Runs on a Model You've Never Heard Of. That's the Point.

  14. Mar 16, 2026AISoftware Engineering

    Agentic Engineering Has a Name Now

  15. Mar 13, 2026AISoftware Engineering

    The Prototype Mirage

  16. Mar 13, 2026AIopenclaw

    From Vibe Coding to Agentic Engineering

    270,000 Lines, One Week, and the Discipline of Constraints

  17. Mar 12, 2026AISoftware Engineering

    The Multi-Agent Stack Takes Shape

  18. Mar 10, 2026

    tmux + Claude Code on macOS: The Complete Setup Guide

  19. Mar 9, 2026AI#ai-tools

    Directed Experimentation — Keeping Abreast of the Latest Advances