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.
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.
Warestack turns .cursorrules into automatic enforcement. Start with visibility, add checks when ready.
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.
Start with Visibility
See what agents ship. Track which PRs drift from .cursorrules. No process change required.
Add Enforcement
Turn observations into automatic checks. Block self-approvals, require linked issues, cap PR size.
Scale to Full Governance
Layer on compliance, audit trails, and cross-repo standards. SOC 2 ready when you need it.
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.
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.
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.
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.
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.
Block self-approval to enforce separation of duties. Essential for SOC 2 and FedRAMP compliance.
View in Catalog →Require CODEOWNERS to review changes to their paths. No more blind merges to critical code.
View in Catalog →Every PR must link to an issue. Essential for audit trails and scope clarity.
View in Catalog →Cap PR size at 400 lines to keep reviews focused. Agents default to lazy approval mode on large diffs.
View in Catalog →Why not just use GitHub rules?
GitHub branch protection is binary. Warestack understands context.
| Feature | Warestack | AI code review tools | GitHub (native features) |
|---|---|---|---|
| Enforcement model | Deterministic. Rules run on every PR. No exceptions. | LLM-based suggestions. No guaranteed enforcement. | Binary branch protection. Pass or fail — no context. |
| Agent-aware | Detects agent-authored PRs. Applies separate rule sets. | Treats agent and human PRs identically. | No agent/human distinction. |
| Instruction file enforcement | Converts .cursorrules and CLAUDE.md into automatic checks. | Reads instruction files. Does not enforce them. | No instruction file awareness. |
| Plain-English queries | Ask anything across your full PR history. | Scoped to the current PR only. | No query layer. |
| Audit trail | Centralized evidence per rule violation. SOC-2 ready. | Fragmented. Hard to prove why decisions were made. | Violations scattered across repos. No audit bundle. |
| Operational integrations | Posts to Linear and Slack with full rule context. | Basic notifications. No workflow integration. | Notifications only. |
Open-source rules. One click to activate.
Real Watchflow rules from github.com/warestack/watchflow. Copy-paste ready YAML.
Block self-approval to enforce separation of duties. Essential for SOC 2 and FedRAMP compliance.
Activate Standard →Require CODEOWNERS to review changes to their paths. No more blind merges to critical code.
Activate Standard →Every PR must link to an issue. Essential for audit trails and scope clarity.
Activate Standard →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 →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.