IntentGuard — Intent Layer for AI Coding Agents

AI coding agents are powerful, but they often guess at what a developer actually wants — and that guesswork breaks things: unrelated files get touched, edge cases get missed, and nobody can prove the change actually did what was asked. IntentGuard solves this by sitting between the developer and the agent as a local intent layer. When a request comes in, IntentGuard drafts a structured spec covering objective, scope, constraints, and verification criteria, then asks the developer targeted clarifying questions instead of assuming. Only once the spec is approved does the agent — in our case, IBM Bob 2.0 — start editing, and only within the approved scope. Every file touched is checked against a scope fence in real time, and every change ends with a proof report confirming what was verified, not just claimed. IntentGuard is built for developers and teams who use AI coding agents daily and want speed without losing control — from solo developers wary of AI "helpfully" breaking unrelated code, to teams enforcing review discipline at scale. It connects to any MCP-capable agent (Bob, Claude Code, Cursor, and others), runs entirely locally, and turns "the AI did something" into "the AI did exactly this, and here's the proof."