Specter gives engineering teams line-level visibility into AI-generated code — deterministic provenance tracking, policy enforcement, security routing, and analytics from prompt to production.
🔍 Specter AI Attribution Report
67%
AI-Generated
28%
Human-Written
5%
Mixed
Automatic PR comment posted within 30 seconds of push
The problem we're solving
47%
of new code contains AI-generated components
0%
of organizations have line-level visibility into AI code
40%
higher injection vulnerability rates in AI-generated code (OWASP)
$0
measurable ROI data from $500K/yr AI tool spend
How it Works
Specter wraps the Git AI open standard to capture provenance at the source, then layers governance and analytics on top.
When a developer accepts a suggestion from Cursor, Copilot, or Claude Code, the IDE hook calls git-ai checkpoint capturing the exact lines and the prompt that generated them.
Attribution data is stored as Git Notes in refs/notes/ai — inside the repository itself. It survives merges, rebases, squashes, and cherry-picks. No external database to drift.
Specter's GitHub App reads the notes on every push, evaluates your policy rules, posts a PR comment with attribution breakdown, routes reviewers, and feeds your analytics dashboard.
Features
From individual developers to security teams to engineering leadership — Specter surfaces the right data at the right time.
See exactly which lines are AI-generated, human-written, or mixed — down to the agent, model, and prompt. Survives merge, rebase, squash, and cherry-pick.
GitHub App posts a structured AI attribution report on every pull request within 30 seconds. Reviewers know exactly what they're looking at before reading a single line.
Declarative .specter/policies.yaml rules with triggers like AI % > threshold, paths match, and models allowlist. Actions include requiring reviewers, failing status checks, or sending alerts.
Track AI adoption trends, code survival rates, agent/model comparisons, and team-level breakdowns. Answer "what is the ROI of our Copilot spend?" with real data.
Automatically assign the right reviewers based on AI content. Route auth/ and crypto/ modifications to security engineers. Load-balance review queues automatically.
For code pasted from ChatGPT or generated without CLI hooks, Specter's ML classifier identifies likely AI code with a confidence score — clearly labeled as "ML-detected, not provenance-tracked."
Individual developers see their AI usage patterns, code survival rates, prompt effectiveness, and agent/model comparisons. Free tier — no org required.
Generate AI code disclosure reports, audit trails, and license risk reports for regulated industries. Full provenance history for every line of AI code in every release.
Deploy Specter in your own infrastructure with Docker Compose or Helm. Air-gapped deployments supported. No code content ever leaves your network.
Who it's for
Measure ROI, understand adoption
"Board asks 'what's the ROI of our $500K Copilot spend?' Specter gives me the answer — with real landed-code data, not vendor-inflated accept counts."
Route AI code through stricter review
"AI code has different vulnerability patterns — hallucinated APIs, hardcoded secrets, insecure defaults. Specter lets me apply stricter SAST rules to exactly those lines."
Understand your AI usage patterns
"I can see which of my AI prompts produce code that actually survives review vs gets rewritten. It's made me dramatically better at prompting."
Justify AI tool spend to the board
"Specter's ROI calculator turns AI code volume into dollar value — factoring in survival rate, defect rate, and hourly cost — in a format ready for board presentations."
Maintain audit trails for AI code
"Finance and healthcare increasingly require disclosure of AI involvement in software. Specter's audit trail and compliance reports have us ready for any regulator."
Understand contributor AI usage
"When reviewing PRs from contributors, I can see which code is AI-generated at a glance and apply appropriate scrutiny without asking every contributor to self-disclose."
Pricing
Individual developers get full personal analytics for free. Teams and organizations unlock governance, analytics, and enterprise controls.
Free
$0
per developer / month
Team
$12
per developer / month
Business
$28
per developer / month
Enterprise
Custom
contact for pricing
All plans include a 14-day free trial · No credit card required · Cancel anytime
Specter was founded because the same question kept coming up: "How much of our codebase is actually AI-generated, and how do we know if it's any good?" No existing tool could answer it reliably.
Built by Sumit Kanwal, Specter sits on top of the open-source Git AI standard to give engineering organizations the governance layer they need as AI-generated code becomes the norm, not the exception.
Get in Touch
Book a 30-minute demo and I'll walk you through exactly how Specter works with your stack — no slides, just your repos and your data.
Book a Demo via Email