AI code review & testing: the tech stack of 19 real products
Reviewing pull requests, finding bugs and generating or running tests with AI.
The typical stack
The leading pick where at least 8 of them show the decision and the leader has at least a quarter of it.
| Decision | Most common pick | Share | At default usage |
|---|---|---|---|
| LLM API | 9 of 13 · 69% | $10/mo · GPT-6 Luna | |
| Frontend Framework | 9 of 12 · 75% | — | |
| Authentication | 4 of 8 · 50% | $0/mo · Hobby | |
| Database | 4 of 8 · 50% | $25/mo · Pro | |
| Hosting | 3 of 8 · 38% | $17/mo · Pay as you go (Lambda + EC2 t4g.small) | |
| Product Analytics | 5 of 8 · 63% | $0/mo · Pay-as-you-go |
Monthly bills add up to about $52 at the calculators' default usage, list prices. Set your own usage →
What they chose, decision by decision
Among the AI code review & testing that show each choice, from makers' products and open-source code alike.
Small samples, fewer than 8 products: Transactional Email (Resend 4, Postmark 2) · Payments (Stripe 6) · AI SDK & Agent Framework (LangChain 3, AI SDK 2) · AI App Builders (v0 3, Lovable 1) · Backend Framework (NestJS 3, Express 2) · Background Jobs & Cron (Inngest 1, BullMQ 1) · Database Access & ORMs (TypeORM 2, Drizzle ORM 1) · Error Monitoring (Sentry 3) · LLM Observability & Evals (Helicone 2, Langfuse 1) · Vector Database (Qdrant 2, pgvector 1)
AI code review & testing we track
16 makers' products and 3 open-source projects. Makers' products first.