After AI Work After AI Work

AI-generated apps

AI wrote the prototype. A developer ships the product.

AI accelerates coding and prototyping. Real applications still need architecture decisions, integration, debugging, tests, security work, deployment and documentation. Post the prototype; a vetted developer takes it to production, with their name on the release.

The gap

Where the generated version stops.

AI-generated code passes security tests only 56% of the time, a number that has not moved in two years even as AI's share of committed code doubled (Veracode, 2026). Ninety-six percent of developers do not fully trust it; only 48% always verify it (Sonar, 2026). The gap between a demo that runs and a system you would be paged for is the work after AI.

PrototypeProduction release
Invoice app, v1 release
Example job
Posted2
Generated Next.js prototypeFrom requester
Generated DB schemaFrom requester
Expert work3
Add auth and rolesDeveloper
Test PDF generation with real invoicesDeveloper
Dependency and secrets reviewDeveloper
Approved1
Architecture decision: Postgres, not SQLiteRequester

What the developer does

The work that usually follows.

Not every job needs all of it. Most need more than the requester expected. Each line becomes part of the definition of done or a priced addition.

  1. Review generated code for correctness, not just for running
  2. Complete the features the prototype only pretended to have
  3. Fix the bugs that appear once real data arrives
  4. Integrate with auth, payments, storage and the rest of the system
  5. Write and run tests; add the ones AI skipped
  6. Security review: input handling, secrets, dependencies, permissions
  7. Prepare deployment, monitoring and rollback
  8. Document what was built and what AI produced versus what people changed

Starter definition of done

What "finished" means for this kind of work.

Edit this when you post, or let the developer propose a tighter one at Match. It is what they quote against, work toward and submit against, and what you approve against.

Guide: What to test after AI writes code
Tests pass, including the edge cases. Security review signed. Deployed to staging and production with monitoring. Docs describe the system, not the prompt. A named engineer approved the release.

Who posts this

Non-technical founders with a working demo, indie makers, product teams with an AI-generated internal tool, agencies delivering software.

Post this kind of work

Who finishes it

Developers (front-end, back-end, mobile), vetted for exactly this.

Reviewed by a peer in the same craft, proven on a paid trial, with a public record of jobs finished and first-round approval rate.

Do this for a living? Join as an expert

Post it. A developer finishes it.

Funded before work starts. Paid when you approve. Every change on the record.