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Better PRs.
AI that reviews your code and generates E2E tests. All in one PR comment.
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PRs are where
quality goes to die.
Reviews Miss Context
Reviewers can't hold your entire codebase in their heads. Bugs slip through.
Nobody Writes Tests
E2E tests take hours. Test data is a nightmare. PRs ship without coverage.
PRs Sit for Days
Senior engineers spend their time reviewing instead of building.
*Based on internal testing with beta customers
Test data is the
silent bug factory.
Your tests pass with fake data. Production breaks with real data. Here's the difference.
const user = {
email: "test@test.com",
name: "Test User"
}- -No relationships
- -No edge cases
- -Tests pass, bugs ship
const user = await users.create({
email: 'john.smith.w1.1704672000@company.com',
role: 'PRODUCT_MANAGER',
department: 'Engineering',
team: { connect: { id: teamId } },
preferences: { timezone: 'America/New_York' }
});- +Real relationships
- +Referential integrity
- +Catches real bugs
Result: Tests that mirror production. No more "works on my machine."
Three steps to better PRs.
$ git push origin feature/checkout
Pushing to origin...
Forge triggered on PR #142
Analyzing 847 files...
Everything you need.
Nothing you don't.
AI Code Review
- Inline comments on bugs and security issues
- Full codebase context and dependency graphs
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- Learns from your team's patterns
E2E Test Generation
- Production-grade test data (not test@test.com)
- Auto-generated Playwright tests
- Self-healing selectors
- Smart coverage based on your changes
One comment.
Complete review.
This PR adds Stripe payment integration to the checkout flow. Changes include a new PaymentProcessor class, cart total calculation updates, and webhook handling for payment confirmations.
PaymentProcessor.ts:47 - Missing null checkCode review: instant.
E2E testing: 1 week.
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- Automatic tests on every PR
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Code review works without this
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Enterprise-Ready Security
Questions?
Greptile does great code review. But building production-grade test infrastructure takes 6+ months and $30K+ in engineering time. Forge gives you both: instant code review plus test infrastructure we build for you in a week.
Faker generates random data. Forge generates data that mirrors your production patterns: proper relationships, referential integrity, realistic edge cases, and automatic cleanup. Tests actually catch the bugs users would hit.
Great! We integrate with existing Playwright tests, fill coverage gaps, and modernize your data infrastructure. You keep what works, we add what's missing.
Yes! Code review works immediately with zero setup. Add E2E testing later when you're ready. Many teams start this way.
GitHub only currently. GitLab support coming Q2 2026.
Never. Your code stays yours. We're SOC 2 compliant with self-hosted deployment available for enterprise customers.
Discovery call, test data factory generation for your schema, Playwright infrastructure, CI/CD integration, and a team training session. It's a one-time cost, then $30/dev/mo for ongoing automation.
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