Structural integrity.
For software that moves at AI speed.
As AI agents write more software, CodeElevate governs whether their changes are structurally safe — evaluating architectural boundaries, coupling thresholds, and module contracts deterministically, on every pull request.
CodeElevate evaluates code changes regardless of origin — human-authored, AI-assisted, or agent-generated. It does not orchestrate coding agents. It governs their outputs before they ship.
From individual builders to platform teams — structural governance for the AI coding era.
For builders
Ship AI code confidently
Explore BuildFor enterprise
Govern AI delivery at scale
Request Evaluation- Structural checks on pull requests — Your policy defines what's architecturally acceptable. CE evaluates it on every pull request and fails the GitHub check when it isn't met.
- Scan history you can compare — Architecture doesn't degrade in a single change. Compare any two scans and see exactly what moved structurally.
- Evidence-backed findings — Every finding is backed by structural evidence — not model inference, not metric scoring, not opinion.
- Read-only by architectural design — No write access. No code modifications. No auto-remediation. Enterprise-safe by architectural constraint.
Coupling depth exceeds policy threshold. 4 downstream modules affected. Check failed.
11 internal types exposed across module boundary. Boundary contract violation.
Structural change from the previous scan exceeds threshold. Review recommended.
You built it with AI.
Is it safe to scale?
Lovable, Replit, Cursor, Claude Code — they got you to a working product in weeks. What they can't tell you is whether the structure underneath will survive real customers, new engineers, or an investor's technical diligence. CodeElevate scans your repository — read-only, in minutes — and shows you exactly where the structural risk lives, with evidence.
Common findings in AI-built codebases
Read-only · no code modified
AI coding tools produce software changes.
CodeElevate governs whether they are safe to ship.
AI coding assistants and autonomous agents are moving from productivity tools to software production systems. They generate pull requests, change events, and structural modifications at a rate no manual review process was designed to govern. CodeElevate sits between their outputs and your production systems — enforcing architecture contracts and detecting structural risk before anything ships.
No blocking violations. Merge proceeds.
Risk detected below blocking threshold. Review recommended.
Policy violation. The GitHub check fails; branch protection decides what that stops.
Structural change flagged for leadership review.
Deterministic enforcement · evidence-backed · human and AI-generated code treated equally
CE governs outputs. It does not orchestrate agents.
CodeElevate does not manage, coordinate, or control coding agents. It evaluates the pull requests and change events their outputs produce — using the same deterministic structural governance applied to human-authored code.
Verdicts are deterministic. Not AI-inferred.
Pass, warn, and block decisions are produced by deterministic structural analysis against your organization's defined policy. The governance layer does not use inference or model scoring to decide.
Audit-ready evidence for every governed change.
Every enforcement event produces structural evidence — check-run outcomes, violation categories, module scope, and source-safety flags. The record is available to engineering leadership without generating a new report.
Exactly where CodeElevate sits in the CI flow.
Every commit. Every time. CodeElevate acts as a structural governance gate between your existing CI/CD pipeline and deployment — evaluating changes against your organizational policy without modifying code or disrupting your workflow.
Read-only analysis. Deterministic results. Full audit trail. No exceptions.
Engineer
pushes commit
Existing CI
tests, lint, build
CodeElevate
Governance layer
structural enforcement
Deploy gate
pass · warn · blocked
Structural checks
policy thresholds
boundary contracts
baseline drift
module surface area
Violation found
check failed
Pass
ship it
→ Read-only · deterministic · no code modifications · full audit trail
Engineer
pushes commit
Existing CI
tests, lint, build
CodeElevate
Governance layer
structural enforcement
Structural checks:
policy thresholds
boundary contracts
baseline drift
module surface area
Deploy gate
pass · warn · blocked
Pass
ship it
Blocked
check failed
Read-only · deterministic · no code modifications · full audit trail
Four steps from setup to structural governance.
Your team ships code the same way they always have. What changes is that structural standards are now enforced automatically — not left to memory or manual review.
Connect
Connect your GitHub repository with read-only access. No workflow changes.
GitHub · read-only
Define policy
Set the structural thresholds your org considers acceptable.
Versioned alongside your code.
Automatic evaluation
Every pull request evaluated against policy. Read-only. Deterministic. Total coverage.
Every pull request · no exceptions
Clear result
Scoped to the module. Backed by structural evidence. Pass · warn · fail. Audit trail for engineering leadership.
Evidence-backed · repeatable
Connect
Connect your GitHub repository with read-only access. No workflow changes.
GitHub · read-only
Define policy
Set the structural thresholds your org considers acceptable.
Versioned alongside your code.
Automatic evaluation
Every pull request evaluated against policy. Read-only. Deterministic. Total coverage.
Every pull request · no exceptions
Clear result
Scoped to the module. Backed by structural evidence. Pass · warn · fail. Audit trail for engineering leadership.
Evidence-backed · repeatable
Connect
Connect your GitHub repository with read-only access. No workflow changes.
GitHub · read-only
Define policy
Set the structural thresholds your org considers acceptable.
Versioned alongside your code.
Automatic evaluation
Every pull request evaluated against policy. Read-only. Deterministic. Total coverage.
Every pull request · no exceptions
Clear result
Scoped to the module. Backed by structural evidence. Pass · warn · fail. Audit trail for engineering leadership.
Evidence-backed · repeatable
No changes to how your team works.
Structural standards are enforced by the system — not by whether someone remembered to check.
Read-only · deterministic · no code modifications · full enforcement record
Product architecture
Two products · one governance engine
For builders and AI-first teams.
Structural governance for individual developers, founders, startups, agencies, and teams shipping with AI assistance. The same engine that runs our enterprise product — without the procurement process.
- Structural checks on your GitHub pull requests
- Scan history you can compare across repositories
- Evidence-backed findings — not metric scores or model opinions
- Scales with your team.
For organizations embedding governance into CI/CD.
Structural governance infrastructure for engineering organizations at scale. Designed for platform teams managing governance across services, teams, and continuous AI-assisted delivery — with the security posture, auditability, and organizational controls enterprise procurement requires.
- Organizational-scale pull request governance integration
- Audit-ready enforcement record for engineering leadership
- Security review support and enterprise documentation
- Licensed as infrastructure — not per developer seat.
More code does not automatically mean safer software.
AI tools can generate code faster than any team can review manually. The velocity is real — but more changes, shipped faster, without a structural control layer, means risk accumulates invisibly.
The tools that accelerate development were not designed to govern architecture. That gap accumulates silently — until it surfaces as an incident, a failed refactor, or a rewrite that could have been prevented.
Without CodeElevate
Structural integrity
Drift accumulates invisibly. Surfaces as an incident.
With CodeElevate
Structural integrity
Policy holds. Integrity maintained. Audit trail available.
Teams are shipping changes faster than any review process can keep up.
AI-assisted development generates structural changes at a rate no manual review was built to handle. The velocity is real. The oversight gap is too.
Software structure erodes one small change at a time.
No single change creates the problem. Dependencies grow incrementally. Modules absorb responsibilities they were never designed for. The aggregate breaks what the individual changes didn't.
By the time it's visible, fixing it costs far more than preventing it.
Structural debt surfaces as slow releases, fragile deploys, and rising onboarding costs. At that point you're not fixing code — you're rebuilding organizational trust in the system.
No existing tool was built to enforce structural standards across a codebase.
Linters catch syntax. Quality scorers measure complexity. AI review flags logic. None of them enforce structural policy at the module level — because that requires a different kind of layer entirely.
A new layer. Not a better version of an existing one.
Most software tooling operates at the behavioral layer — validating correctness, style, security, and logic at the file or line level. That work matters. And none of it is structural governance. CodeElevate operates where those tools stop: enforcing organizational policy across module relationships, boundary integrity, and coupling thresholds — with an auditable enforcement record your leadership can rely on. That's the governance gap — and it's the only one CE was built to close.
Behavioral layer
syntax · style · logic · security · line and file level
Linters
syntax · style
Quality tools
complexity scores
AI review
logic suggestions
Security scan
vulnerabilities
Structural layer
module relationships · coupling thresholds · boundary contracts · architectural policy
CodeElevate — Structural Governance
Enforces organizational policy at the module level · blocks violations · produces auditable enforcement record
CodeElevate is not a better version of any of the tools above. It is a different layer entirely.
| Capability | CodeElevate | CodeElevate CLI (local report mode) | Linters | Quality Tools | AI Review |
|---|---|---|---|---|---|
What it does The job it performs | Enforces policy | Produces a report | Catches rule violations | Scores metrics | Suggests changes |
Analysis layer Where in the codebase does it operate? | Architecture / module | Architecture / module | Syntax / file | File / function | Line / context |
Enforcement mechanism Does it fail a required check, or inform? | Fails the PR check | Informs (if wired) | Blocks (style gates) | Informs | Suggests |
Runs on every pull request, automatically Without human intervention | ✓ | — | ✓ | ✓ | Limited |
Organizational policy layer Encodes your standards, not just findings | ✓ | — | — | — | — |
Structural comparison across scans Shows what changed structurally between two scans | ✓ | — | — | Limited | — |
Evidence-backed findings Structural evidence, not inference or rule match | ✓ | Limited | — | — | — |
Read-only execution Cannot modify code | ✓ | ✓ | ✓ | ✓ | — |
Audit trail for leadership Enforcement record visible to engineering leaders | ✓ | — | — | — | — |
What enforcement looks like at the module level.
Each finding below is scoped to the module where the policy violation originates. Evidence is structural — not a metric score, not model inference. Failing findings fail the pull request check until resolved.
Trigger
PR Open
Existing
CI Pipeline
Governance Layer
CodeElevate
Output
Structural Evidence
Branch protection
Merge Decision
Coupling depth exceeds policy threshold. 4 downstream modules affected. The pull request check fails until the violation is resolved.
23 internal types exposed across module boundary. Boundary contract violation — policy requires enforced separation.
Module responsibility scope has grown 4× over 60 days. Approaching policy threshold. Review before next release.
8 modules depend on this package with no isolation layer. Fan-out approaching policy limit.
Surface area diverged from 30-day structural baseline. Delta is within threshold — flagged for leadership review.
New module introduced without defined boundary contracts. Downstream consumers already exist. Policy requires contracts before dependents are allowed.
Run #612 · main ← feature/payments-refactor
2 policy violations are failing this pull request's check.
Run #612 · completed 3.8s · read-only
Policy violations, not suggestions
Failing findings fail the GitHub check. Your branch protection rules decide what that stops. Your policy holds, even when no one is watching.
Scoped to where it originates
Every finding is attributed to the module or package responsible. No flat lists. No context loss. Engineering leaders see exactly where risk lives.
Deterministic enforcement record
Identical inputs produce identical outputs on every run. Suitable for audit trails, structured review, and baseline comparison.
Read-only. No side effects.
CodeElevate cannot modify your code. Cannot push changes. Cannot affect runtime behavior. It has one job: enforce and report.
Built to pass your security review before you ask.
Enterprise engineering teams operate under real access controls, audit obligations, and governance requirements. CodeElevate was designed with those constraints as requirements — not afterthoughts.
Read-only by architecture
CodeElevate is designed to operate with read-only access. The service requests read permissions only and does not write to, patch, or push changes to your repository. This is not a policy setting — it is an architectural constraint.
No automatic remediation
There is no auto-fix mode. No suggested patches. No code modifications of any kind. Every remediation decision stays with the engineers who own the code. CE enforces — it does not act.
Deterministic, auditable enforcement record
Given the same codebase and configuration, CE produces consistent, reproducible outputs. Results are comparable across runs and suitable for structured engineering review, audit trails, and governance reporting.
Minimal required access
Permissions are scoped to what enforcement requires. CE does not request elevated or unnecessary access. Scopes are transparent and can be reviewed before authorization.
Controlled CI integration
Runs as a read-only observer in your pipeline. Does not alter build artifacts, affect runtime behavior, or introduce side effects into your deployment process.
Enterprise governance path
Organizations with specific security, access control, or audit requirements can discuss deployment and data handling configurations through our Enterprise offering.
Software fails structurally
before it fails visibly.
Most organizations discover structural risk through incidents, fragile deployments, and refactors that compound. Request a pilot evaluation and run CE against a real codebase — see where your structural risk actually lives, before it surfaces as something expensive to reverse.
Access is provided through guided onboarding — we review your request and follow up directly.
Read-only · No code modification · No auto-remediation