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Debugging, Testing, Code Review & Deployment

Write Tests That Actually Check AI-Generated Code

Normal, boundary aur failure cases ke meaningful tests.

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Ajay Prajapat

Suggested mentor

Ajay Prajapat

AI Systems Architect

15+ years of experience · Ex-Apple

About mentor & skills Visit site
TechlyUpDEBUGGING, TESTING, CODE REVIEW & DEPLO…Write Tests ThatActually CheckAI-GeneratedCodeFREE WEBINAR TOPIC · VOTE
Ajay Prajapat, AI Systems Architect

innovatewithajay.com

About the suggested mentor

Ajay Prajapat

AI Systems Architect

  • 15+ years of experience
  • Ex-Apple

AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.

Skills & expertise

  • AI-assisted Development
  • Full-stack Development
  • AI Agents
  • RAG & MCP
  • System Design
  • Project Reviews
  • Prompt Engineering
  • GenAI Architecture

A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.

View mentor profile Visit innovatewithajay.com

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Why AI-written tests can be superficial
  2. 2Testing behaviour, not implementation
  3. 3Covering edge cases and failure paths
  4. 4Checking that tests fail when code is wrong
  5. 5Using AI to suggest test cases you then review
  6. 6Maintaining useful tests

Who it's for

  • • Developers at all levels
  • • QA engineers

You'd leave with

  • Test design principles
  • An edge case checklist
  • Test quality checks

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