I'm Bhavin. I run GenCodeQA.
The shortest version of the company: we test AI apps, agents, RAG assistants, and LLM workflows before real users become the test plan. We do not take a finding and turn it into a rebuild contract.
That boundary is the product.
The pattern I kept seeing
A team ships a copilot, an agent, or a RAG assistant. The demo is clean. Three prompts work. Leadership is impressed. Launch is "next week."
Then production does what production does:
- a user pastes messy language
- retrieval misses and the model guesses anyway
- a tool fires without a real confirmation
- a timeout shows a blank state
- a permission edge leaks context that the demo never touched
None of that requires a bad model vendor. It requires thin coverage. Demos optimize for clarity. Production optimizes for whatever a distracted person types on a phone.
Why we will not also build the app
If the same shop tests and rebuilds, every finding has a sales incentive attached.
I don't want that in the room. A useful report says:
- where it failed
- how severe it is (Critical / High / Medium / Low)
- what "fixed" looks like
- whether the honest call is Ship, Wait, or Block
Then engineering owns the fix. That is the job.
Who this series is for
You will get the most from the next 30 days if:
- you are shipping an AI feature to real users
- the product can read private data, take actions, or influence money / access / trust
- your team is small and "we tried a few prompts" is currently the test plan
- you built fast with Cursor, Lovable, v0, Bolt, or similar — and you know speed is not coverage
You will not get a pricing table, invented case-study metrics, or "10x your launch." Quotes at GenCodeQA are scoped after a short triage. Products are not the same size. Pretending they are is dishonest.
What I will publish
Practical sequences you can run on staging:
- launch order: risk map → journeys → model edges → safety → fallbacks → severity → gate
- why golden prompts are not a plan
- how to test RAG without trusting decorative citations
- what to test first on agents with tools
- ship / wait / block language that survives calendar pressure
I will also point to free tools that need no signup: coverage gap finder, launch risk score, 24-point checklist, adversarial prompt pack, go/no-go helper. Hub: gencodeqa.com/resources.
What I will not do here
- Pretend Dev.to pays writers. It doesn't. I'm here because this is where builders actually read.
- Farm backlinks with stub posts. If a post exists, it will contain the method.
- Invent named clients or conversion lifts. When I use industry patterns, I'll say they are composite product-class studies.
If you are days from launch and the only evidence you have is a recording, start here: How to test an AI app before launch.
If you want a second pair of eyes, book a free testing triage. Bring the product type, the model setup, what you already tested, and the date you are trying to protect.
We test. We don't rebuild.
Drafting was AI-assisted; I edited and verified every claim before publishing.
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