Linguistic Meta-Programming

How coding agents improve through language (specs, reviews, lessons, rules) without touching model weights.

What's here

Page	About
index	Thesis, three layers, evolution from vibe coding to meta-programming
specification	DO/DON'T/GLOSSARY, SDD, Intent Formalization, AGENTS.md
context-engineering	Token budgets, progressive disclosure, caching
pipeline	Scout → Spec → Plan → Workers → Review → Lessons
verification	Separate reviewer, multi-model, OTel, Amazon case study
self-improvement	Memory hierarchy, lesson extraction, closed loop
principles	6 principles, 3 maturity levels, anti-patterns
playbook	15 rules tied to principles and experiments
landscape	Tools, trends, papers: April 2026 snapshot
references	Full bibliography: papers, repos, people, our experiments
changelog	What's new since previous sync

Evidence levels

• 🟢 Our experiment, our data
• 🟡 Trusted source (Anthropic, Microsoft Research, peer-reviewed)
• 🟠 Community reports (practitioners, GitHub projects)
• 🔴 Unverified
• ⚪ Our opinion / synthesis