Spot delivery risk signals, before they become incidents.
"without disrupting the day-to-day work of your engineers"
Know what's changing, what needs attention, and why delivery slows using real-time signals and on-demand or scheduled reports prompted in human language.
No custom setup
No YAML. No workflows to redesign
Minutes to first value
GitHub
·Slack
·Linear
·
Warestack works with over 20 companies through integrations, usage, and partnership programs.
Everything you need to manage your engineering teams
From natural language queries to raw SQL access, Warestack gives you full control over your development data.
Generate Report with AI
Describe what you want to analyze and we'll generate a custom report
e.g., List all PRs merged without review in the last 30 days
Self-merged PRsFailed deploymentsSlow reviewsCritical violations
Weekly PR Analysis
WeeklySummary of pull request activity and review times
Last run 2 hours agoNext Dec 18
Deployment Metrics
DailyTrack deployment frequency and success rates
Last run 6 hours agoNext Tomorrow
Team Performance
MonthlyIndividual and team contribution analytics
Last run 3 days agoNext Jan 1
Vibe coding is unpredictable. Code reviews are for humans!
PROBLEM
Reviews are inconsistent
Pull request signals are scattered
Your codebase lives in GitHub, discussions in Slack, and issues in Linear.
SOLUTION
Unified data
Builds a lineage for each PR with tooling metadata and behavioral patterns, so you can query it using deterministic SQL
SOLUTION
Unified data
All events, one schema
Warestack unifies all signals into a structured dataset. Access it in our dashboard, as raw data through our API.
Query it with deterministic SQL or feed to LLMs.
SLACK ALERT SENT
#front-end channel • Last discussion 2 days ago
Slack
›
W
Notify PR owner with critical issues and instructions to follow up.CI/CD CHECKS
1/4 GitHub checks failed.
GitHub
›
GitHUB bOTSGemini code assist • Left a commend 2 days ago
Gemini
›
Overall it’s very good, with stable improvements.
Issue SUMMARYIn Progress • Last updated 2 days ago
Linear
›
AI
Reporting system aggregating activity reports.FEATURE
Agentic Checks
Checks explain risk before it becomes an incident
Before
Rules scattered in YAML files, sticky notes, and README docs.
Now
Warestack automatically suggests checks that explain risk in plain English. Activate what makes sense for your team.
Rules in READMEs
- drive-by approvals
- PR diff = Linear scope
- PR diff = Linear scope
warestack
Approved without actually reviewing the code.
CRITICAL
Warestack found a signal →review.file_views == 0.
Enable Warestack blocks
A dependency file has been modified.
A change detected that doesn't match issue scope.Warning
Enable Warestack flags
See every PR signal in one place — and act on it
Warestack ingests diffs, CI artifacts, review comments, linked issues, Slack threads and deployment events and maps them into a unified, queryable schema. That single source of truth makes it possible to write simple, explainable policies that reason over the whole lifecycle, not just a single event.
Contextual Review
"If a PR modifies payment code and tests are flaky, require an extra reviewer."
Safe Deployments
"If a PR links to a Linear task marked 'hotfix' but deploy time is outside business hours, block deploy."
Incident Correlation
"Show correlation: PR → failing workflow → incident ticket."
4,703 repos in sync
We process thousands of GitHub operational events for our customers, capturing hundreds of contextual signals for every PR.
Why Warestack?
Monitor DevOps processes, not just errors—with context-aware governance.
| Feature | Warestack | AI code review tools | GitHub (native features) |
|---|---|---|---|
| Process monitoring (How, Why, When) | Tracks DevOps processes—how changes were made, why decisions were made, and under what conditions. Links PR → review → deployment → incident chains. | Focus on individual PRs; no cross-event correlation or workflow context. | Tracks what changed (code, metadata); no process context or post-merge chain linking. |
| Explainability | Deterministic checks + evidence recorded on PRs/issues. | Opaque AI responses; difficult to trace why suggestions were made. | No built-in explainable policy engine. |
| Human-language queries | Search and ask in plain English across PR history. | Limited query capabilities; typically focused on current PR only. | No query layer. |
| Context-aware rule enforcement | Adaptive rules that consider developer role, timing, and team context. Enforce based on real-world conditions, not just binary checks. | Provide suggestions and comments; cannot enforce or block merges. | Binary branch protection (yes/no); cannot adapt to context like developer seniority or deployment timing. Protection rules end at merge button. |
| Operational agents (Slack/Linear) | Post actionable comments into Linear and Slack with context. | Basic notifications; limited integration with workflow tools. | Notification-only. |
| Centralized audit trail | Centralized evidence trails with full context—who violated what rule, when, why, and what it impacted. SOC-2 ready workflows. | Limited audit trails; difficult to prove why decisions were made. | No centralized audit bundle across tools; violations scattered across repos. |
Build the way the PROs do.
Follow enterprise-grade industry checks
Pull Request→Review
Require a minimum number of 2 approvers for pull requests touching sensitive codebase.
Activate Standard →Pull Request→Review
A test plan is required in the code review description, detailing how to verify the change.
Activate Standard →Pull Request→Review
Ensure all review comments are resolved or addressed before the final merge.
Activate Standard →See full catalog →
Warestack provides 50+ enterprise-ready protection rules, available in one click.
Warestack is open source
Contribute
6 months free
Watchflow is Warestack's open-source project
Watchflow runs inside GitHub and lets you write your own YAML checks.It then detects risky patterns, and gets instant reviews in your pull requests as comments.
Made with ❤️ by Warestack and the community