Backed byEnterprise-grade delivery governance for engineering teams

Control the code changes your engineering members and agents ship.

"Code is getting cheaper. Consequences aren't."

For engineering engineering teams that move fast with a mix of agents and humans Turn contributions standards, .cursorrules, and agent guidelines into pre-merge checks. See what agents ship. Enforce standards. Scale to full governance.

Ask anything about your delivery structured data
Which PRs drift from our .Cursor guidelines this week?
.cursorrules → automatic checks
No YAML. No config files.
Connect GitHub in 2 minutes
Deterministic execution in the critical path / LLM used where understanding adds value.
GitHub
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Warestack works with over 20 companies through integrations, usage, and partnership programs.
84% of developers use AI tools. 46% don't trust the output.
PROBLEM
The cost asymmetry

Code is getting cheaper. Consequences aren't.

Incidents, customer churn, and operational load aren't getting cheaper. Most teams have zero governance on AI-generated code.

84%of developers use AI toolsStack Overflow 2025
46%don't trust AI outputStack Overflow 2025
30-60%of PRs are agent-authoredGitHub Octoverse 2025

Warestack turns .cursorrules into automatic enforcement. Start with visibility, add checks when ready.

APPROACH
Progressive Governance

Start small. Mature alongside your team.

You don't need heavy compliance to get value. Begin with visibility, add enforcement when ready, scale to full governance as you grow.

1

Start with Visibility

See what agents ship. Track which PRs drift from .cursorrules. No process change required.

Which agent PRs required follow-up fixes?
Are .cursorrules being followed?
2

Add Enforcement

Turn observations into automatic checks. Block self-approvals, require linked issues, cap PR size.

block_self_approval: true
require_code_owner_reviewers: true
max_lines: 400
3

Scale to Full Governance

Layer on compliance, audit trails, and cross-repo standards. SOC 2 ready when you need it.

require_signed_commits: true
block_on_unresolved_comments: true
METRICS
KPIs for the agent era

The KPIs you should commit to today are very different from two years ago.

Here are the three to own for the next 90 days.

>85%

Intent-to-Diff Alignment Rate

What percentage of AI-generated PRs actually match the ticket's intent? Usage means nothing if agents produce code that drifts from the original scope.

Target: >85% alignment within 90 days
Agent vs Human

Post-Merge Follow-Up Fix Rate

Are agent commits holding up in production? Segment follow-up fixes and hotfix PRs by author type. If agent-authored changes require 3× more corrective work, you don't have acceleration — you have hidden instability.

Track: Agent fix rate vs human baseline
<5 min

Time-to-Evidence

How fast can a lead answer "What shipped last sprint? Who wrote it? What broke?" If that still requires Slack threads or full team meetings, AI isn't improving delivery — it's amplifying noise.

Target: Evidence available in <5 minutes
FEATURE
Agentic Checks

Pre-merge enforcement that doesn't depend on who's reviewing

Real Watchflow rules from github.com/warestack/watchflow. Deterministic checks with copy-paste ready YAML.

Compliance
Pull Request

Block self-approval to enforce separation of duties. Essential for SOC 2 and FedRAMP compliance.

View in Catalog →
Security
Pull Request

Require CODEOWNERS to review changes to their paths. No more blind merges to critical code.

View in Catalog →
Traceability
Pull Request

Every PR must link to an issue. Essential for audit trails and scope clarity.

View in Catalog →
Review Quality
Pull Request

Cap PR size at 400 lines to keep reviews focused. Agents default to lazy approval mode on large diffs.

View in Catalog →
Deterministic checks · No LLM in the enforcement path · Open source at github.com/warestack/watchflow
Read more →

Why not just use GitHub rules?

GitHub branch protection is binary. Warestack understands context.

FeatureWarestackAI code review toolsGitHub (native features)
Enforcement modelDeterministic. Rules run on every PR. No exceptions.LLM-based suggestions. No guaranteed enforcement.Binary branch protection. Pass or fail — no context.
Agent-awareDetects agent-authored PRs. Applies separate rule sets.Treats agent and human PRs identically.No agent/human distinction.
Instruction file enforcementConverts .cursorrules and CLAUDE.md into automatic checks.Reads instruction files. Does not enforce them.No instruction file awareness.
Plain-English queriesAsk anything across your full PR history.Scoped to the current PR only.No query layer.
Audit trailCentralized evidence per rule violation. SOC-2 ready.Fragmented. Hard to prove why decisions were made.Violations scattered across repos. No audit bundle.
Operational integrationsPosts to Linear and Slack with full rule context.Basic notifications. No workflow integration.Notifications only.
Defense-in-depth for the agent era.

Open-source rules. One click to activate.

Real Watchflow rules from github.com/warestack/watchflow. Copy-paste ready YAML.

Compliance
Pull Request

Block self-approval to enforce separation of duties. Essential for SOC 2 and FedRAMP compliance.

Activate Standard →
Security
Pull Request

Require CODEOWNERS to review changes to their paths. No more blind merges to critical code.

Activate Standard →
Traceability
Pull Request

Every PR must link to an issue. Essential for audit trails and scope clarity.

Activate Standard →
Enterprise-grade catalog50+ available checks in one click
See full catalog →
CHALLENGE
The AI flood

AI flood is breaking OSS. Maintainers are auto-closing PRs as they can't keep up with the low-quality volume.

Good open source collaboration has always been verbose. Contributors using AI today invert those expectations.

Good open source collaboration

  • Small, focused diffs
  • Clear intent in PR titles and descriptions
  • Obvious reviewer ownership via CODEOWNERS
  • CI workflows and test coverage aligned with the change

Contributors using AI today

  • Large diffs with shallow descriptions
  • Vague intent
  • No clear reviewer path
  • Minimal, generic, or irrelevant test coverage

Warestack enforces good patterns before merge

Require linked issues. Cap LOC per PR. Enforce CODEOWNERS approval. Block PRs with shallow descriptions. Deterministically, not through AI suggestions.

See the full check catalog →
Architecture
Open core model

Open-source engine. Commercial platform.

Watchflow is the open-source GitHub App that powers rule enforcement. Warestack adds the data layer, analytics, and enterprise integrations on top.

Watchflow

Open Source
Rule engine & PR analysis
Instruction file parsing (.cursorrules, CLAUDE.md)
GitHub webhook processing
Check runs & enforcement
View on GitHub →

Warestack

Commercial
Analytics dashboard & health scores
Team governance & agreements
Linear, Slack, Jira integrations
Reporting, alerts & playbooks
Enterprise SSO & GHES support

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