91% of developers use AI tools. Your repo is accumulating technical debt RIGHT NOW.
Your engineering org is shipping 41% AI-generated code. Do you know if it's any good?
Connectory gives CTOs and VP Engs a real-time governance layer across every AI-assisted pull request — so you can scale AI adoption without accumulating invisible technical debt.
The AI code quality gap is already open
Most orgs have adopted AI coding tools. Almost none have governance to match. That gap compounds every sprint.
Blind spots in AI code quality
GitHub Copilot and similar tools don't tell you whether the code they generate is secure, idiomatic, or aligned with your org's standards. Your reviewers can't catch what they can't see.
41% of enterprise PRs contain AI-generated code with no systematic review
No governance framework for AI output
You have style guides, linters, and security scans — but none of them were built to evaluate AI-generated code patterns. A policy gap this wide becomes a compliance liability at audit time.
73% of engineering leaders lack a documented AI code quality policy
Technical debt accumulating silently
AI tools optimize for plausible-looking output, not long-term maintainability. Without systematic detection and review, low-quality AI suggestions harden into production code and compound into structural debt.
Orgs using AI coding tools see 2.3x faster debt accumulation without governance controls
A control plane built for org-scale AI governance
Connectory sits between your developers' AI tools and your production branch — surfacing risk, enforcing policy, and giving you the metrics to prove it's working.
AI Code Review That Actually Understands AI Output
SlopBuster uses a second AI layer trained on AI-specific failure modes — hallucinated APIs, copy-paste drift, confidently wrong logic — and reviews every PR with 91% accuracy before a human touches it.
Policy-Enforced Merge Gates
Guardian blocks merges that fail your quality thresholds. Define pass/fail criteria per repo, team, or branch — and enforce them without writing custom GitHub Actions. Zero-config after initial setup.
Org-Wide AI Code Metrics
The Org Dashboard aggregates AI detection rates, review outcomes, debt signals, and policy violations across every repo. Slice by team, language, or time period to see where risk is concentrating.
Trend Analysis and Debt Forecasting
The Debt Lens surfaces month-over-month trends in AI code volume, review bypass rates, and flagged pattern recurrence — so you can get ahead of structural risk before it shows up in incidents.
Up and running in under 30 minutes
No infrastructure to provision. No training data to supply. Install the GitHub App and Connectory starts reviewing immediately.
Connect your repositories
Install the Connectory GitHub App and grant access to the repos you want governed. Connectory begins analyzing pull requests immediately — no configuration required to get your first review.
Set quality and policy thresholds
Define pass/fail criteria for AI code density, review severity, security patterns, and debt signals. Policies can be set org-wide or scoped per team, language, or repository.
AI reviews every pull request automatically
SlopBuster and Guardian evaluate every PR against your policies the moment it opens. Reviewers see a structured summary with flagged patterns, suggested fixes, and a merge recommendation.
Track outcomes in the Org Dashboard
Aggregate metrics land in your dashboard in real time. Monitor AI code volume, review accuracy, policy violations, and team-level trends from a single pane of glass — ready for your weekly engineering review.
Connect your repositories
Install the Connectory GitHub App and grant access to the repos you want governed. Connectory begins analyzing pull requests immediately — no configuration required to get your first review.
Set quality and policy thresholds
Define pass/fail criteria for AI code density, review severity, security patterns, and debt signals. Policies can be set org-wide or scoped per team, language, or repository.
AI reviews every pull request automatically
SlopBuster and Guardian evaluate every PR against your policies the moment it opens. Reviewers see a structured summary with flagged patterns, suggested fixes, and a merge recommendation.
Track outcomes in the Org Dashboard
Aggregate metrics land in your dashboard in real time. Monitor AI code volume, review accuracy, policy violations, and team-level trends from a single pane of glass — ready for your weekly engineering review.
Results engineering leaders can report upward
Connectory customers see measurable improvement in code quality, review efficiency, and AI-related incident rates within the first 90 days.
AI code review accuracy
AI-generated code detected across PRs
reduction in AI-related bug escapes
median time to full org deployment
Get visibility into your AI code quality — this sprint.
Book a 30-minute demo and see Connectory running against your repos live. We'll show you your current AI code exposure, how Guardian would enforce your policies, and what the Org Dashboard looks like with your team's data.