Scroll to follow the life of validate_payment_amount() — from business need to forgotten code.
feat: add payment validation. The Jira ticket is closed. The audit passes. Everyone moves on.validate_payment_amount(). Questions pile up:validate_payment_amount() and sees the full origin story instantly:Whether you're starting a new project or inheriting a vibe-coded codebase, LoomCode keeps the reasoning chain intact.
Hover over any function and see the full origin story: which business requirement created it, which prompt generated it, and why specific decisions were made. Works in your IDE, CLI, browser, or via MCP — so any AI agent can query intent directly.
Already have a vibe-coded codebase with no specs? LoomCode reverse-engineers intent from your code, prompt history, git log, and business docs — reconstructing the specs that should have existed.
Connect Jira, Confluence, Linear, Notion, or formal spec files from tools like Kiro and SpecKit. LoomCode indexes them as source-of-truth layers — not to author specs, but to link them to your code.
See which parts of your codebase are traceable back to business requirements — and which are "dark code" with no known justification. Like test coverage, but for why things exist.
LoomCode captures context from where decisions are made and where code is generated — no workflow changes required.
Automatically captures prompts, responses, and session context from your AI coding tools.
Indexes tickets, specs, design docs, and acceptance criteria as the business reasoning layer.
Captures decision context from Slack threads and links it to commits, PRs, and code changes.
Every function has an origin story — a business need, a prompt, a decision. LoomCode weaves those threads together so they're never lost, no matter who leaves, who joins, or how fast you ship.
Join the waitlist for early access. We're building LoomCode for teams that ship AI-generated code and need to understand it six months later.