These are sources, references, and related work that inform the ideas on this site.
Vibe Coding vs Careful Control — arXiv Research finding that experienced developers don’t actually “vibe code”—they carefully control agents through planning and active supervision because they care about software quality.
Spec-Driven Development Toolkit — GitHub Blog Microsoft/GitHub’s open source toolkit for specification-driven development with AI. The methodology I’ve been refining independently.
Effective Context Engineering for AI Agents — Anthropic (September 2024) Gets at the core distinction: context vs prompt. This is the engineering challenge that makes or breaks agent workflows.
Contextual Retrieval — Anthropic RAG primer from Anthropic. Foundational reading on retrieval-augmented generation.
Context Management in Agentic AI — DataHub Thoughts on context management from DataHub—an open-source metadata platform that unifies data discovery, observability, and governance for AI and data ecosystems.
Context Management Breakthroughs — ByteBridge on Medium More on context management for long-running agent tasks.
Defeating Nondeterminism in LLM Inference — Thinking Machines AI Work on making LLM outputs more deterministic. Relates to the reproducibility challenges in AI-assisted development.
This page collects external sources that ground the site’s claims in the broader conversation. Not endorsements—reference material.