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.
What do people say about vibing with no structure?
How Vibe Coding Lead to My Project’s Downfall — Reddit r/gamedev A developer’s postmortem on what happens when you let the vibes flow without engineering discipline.
Bad Vibes: How an AI Agent Coded Its Way to Disaster — ZDNet When AI agents write code without human oversight, things get nasty quick.
A New Worst Coder Has Entered the Chat — Stack Overflow Blog Vibe coding without code knowledge—what could go wrong?
Remember Vibe Coders? Yeah, They’re Gone — Medium This author claims vibe coding is already dead. The hype cycle moves fast.
This page collects external sources that ground the site’s claims in the broader conversation. Not endorsements—reference material.