Context for AI Agents
Your AI agent is only
as good as its context.
SpecSource.ai automatically researches errors, gathers code history and team discussions — then writes prompt-ready specifications your AI coding agent can act on immediately.
No credit card required
Integrates with your ticket tracker
Garbage in,
garbage out
AI coding agents need rich context to produce good fixes. A one-line error message and a stack trace isn't enough — they need related code, past discussions, and the full picture.
Prompt-ready specifications, automatically
SpecSource.ai collects everything your AI agent needs — error context, relevant files, PRs, and Slack threads — and writes a detailed specification that doubles as a perfect prompt.
How It Works
From ticket to AI-ready prompt
Connect your stack
Add your Linear, Sentry, GitHub, and Slack API keys. Takes about five minutes.
Context gets collected
When a new Linear issue arrives, SpecSource.ai pulls relevant code, checks Sentry for related errors, and gathers Slack discussions.
Your agent gets a perfect prompt
All that context is compiled into a detailed specification — ready for Claude, Cursor, or any AI coding agent to act on.
Features
Built to feed your AI agent
Prompt-ready output
Every specification is structured so AI agents can parse it immediately. No reformatting, no copy-pasting.
Full code context
Relevant source files, recent PRs, and commits are included automatically — so your agent sees the root cause.
Cross-tool context
Slack threads, Linear issues, and GitHub code — all gathered into one place for maximum agent context.
Smart deduplication
Matches new issues to existing ones using semantic similarity. Your agent won't fix the same bug twice.