Repofence analyzes your repo and generates specs so AI tools like Cursor and Claude Code follow clear structure, boundaries, and rules — without repeating context every time.
Works with Cursor, Claude Code, and any AI coding workflow
Generate specs once. Let AI follow them forever.
Three steps to predictable AI-generated code
Point Repofence at your codebase. It analyzes your architecture, patterns, and boundaries.
Get structured markdown specs that document your system's rules, flows, and constraints.
AI tools read the specs and generate code that respects your architecture automatically.
Benefit-first features designed for spec-driven development
Repofence scans your repo and extracts the implicit rules that define how your system works.
Generated specs give AI tools clear boundaries so every suggestion follows your architecture.
Specs document existing patterns, preventing AI from reinventing what already exists.
Stop rewriting context every session. Specs persist in your repo for AI to reference.
Developers who want AI to understand their code, not just generate it
Ship faster without sacrificing code quality. Let specs handle the context so you can focus on building.
Get better suggestions from your AI tools by giving them structured context about your codebase.
As your project scales, specs keep AI aligned with your architecture and prevent drift.
New course: Spec-Driven Development with Coding Agents, built in partnership with @jetbrains, and taught by @paulweveritt. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed Show more
prayers to all people that were high on openclaw, then hermes to drop them if you didnt feel the urge to go deeper, ngmi literally all paths lead to agent/context orchestration, customized agent loops also for me (system thinker): spec driven development is must go
After living in Claude Code daily, I've realized: Vibe coding = Gambling. 🎲 It works until your project hits a certain complexity. Then come the silent failures: inconsistent logic, broken auth flows, and "hallucinated" utility functions. Moving to Spec-Driven Development Show more
We run spec-driven development at scale across 37 daily automated tasks. Every agent skill is a SKILL.md file: a structured spec with execution steps, references, guardrails, and success criteria. The agents do not improvise. They follow the spec. When the spec is wrong, we fix Show more
Love this, very bullish on spec-driven development.
Spec-Driven Development is not for developers alone. It is the bridge between business and development. Without business, there are no requirements. Without requirements, there are no specifications. And without specifications, teams may still build software, but not Show more
This principle extends well beyond code. In enterprise, we're seeing the same pattern with agentic AI across every function: vibe-prompting gets you 70% of the way, but spec-driven workflows are what make AI agents reliable enough for production. The orgs moving fastest are the Show more
The spec layer is what turns vibe-coded prototypes into production systems that don’t forget context after 24 hours. I am already wiring detailed specs directly into persistent second brain loops
Spec-Driven Developement (SDD) is a methodology that leverages Large Language Models (LLMs) and AI coding agents to combine the speed of AI code generation with the rigor of upfront design and clear documentation. It shifts the development paradigm from rapid, undocumented Show more
SPEC IS BECOMING THE PRODUCT An Anthropic engineer gave Claude a spec, pointed it to an Asana board and left for the weekend. Claude broke it into tickets and spun up a team of agents. The agents started picking up tasks on their own. No one told them to. They just did. Show more
Spec-driven dev is key! 🎯 Seen too many projects derailed by vague specs. Clear requirements upfront saves headaches (and yen!) later. 👍
"Vibe coding" breaks the moment ambiguity gets expensive. Specs aren't bureaucracy; they're compression for intent. The better the spec, the less time you waste debugging what the model thought you meant.