---
title: "AI-Augmented Software Development Manifesto"
tags:
  - wiki
  - sources
sources:
  - "[[AI-Augmented Software Development Manifesto]]"
domains: [agentic, coding]
date: "2026-07-17T06:22:39.051Z"
created: "2026-07-17T06:22:39.051Z"
includeInRss: false
---

# AI-Augmented Software Development Manifesto

## Takeaways
- Values human agency/taste, tight feedback loops, reliable tested software, and adaptable intent over autopilot, long unattended runs, output volume, and rigid specs.
- Ship real software—not LOC, swarms, or token burn; requirements should harden from evidence via prototype and test, not upfront lock-in.
- Code is cheap; understanding is expensive—rewrite, refactor, and throw away bad first passes aggressively.
- Sustainable pace matters: late-night agent babysitting and context spirals degrade judgment; simplicity means refusing generated complexity.
- Technical excellence rises in importance when generation is cheap—review architecture and security before plausible broken systems reach production.

## Notes
Compact north-star for agentic vault and coding work—pairs well with eval-driven AGENTS.md discipline and against "vibe-coding" defaults in long agent runs.