Build an AI-Assisted Bugfix with Review Evidence
Leave with a reviewed bugfix with before and after evidence.
Scheduled for Sunday, 4 July 2027. English 11 AM–2 PM · Hinglish 8 PM–11 PM IST.
Choose your language session
Both sessions cover the same practical topic. Joining links are not yet available. Registration opens only for the next 2 Sundays. Registration costs ₹399 for one 3-hour language session.
In this three-hour live workshop, you will create a reviewed bugfix with before and after evidence. You will work through sample inputs, build the core flow, test realistic failures and review your result with Ajay. Choose English or Hinglish for the same hands-on topic.
What this session will focus on
Your practical takeaway
Leave with a reviewed bugfix with before and after evidence.
YOUR HANDS-ON PLAN
- Define the scope and sample inputs for a reviewed bugfix with before and after evidence.
- Set up the smallest reproducible example using synthetic or public data.
- Reproduce one observable defect.
- Check the patch and explain remaining limits.
- Run the checks, review tradeoffs and plan one follow-up improvement.
- Leave with a reviewed bugfix with before and after evidence.
- Verify your result on sample inputs and a realistic failure case.
- Continue practising: extend your reviewed bugfix using one new input and record the result.
Before you join
No prior experience required
Continue practising
Practice exercise: extend your reviewed bugfix using one new input and record the result.
Related learning path
IT Career Foundation
Explore the learning librarySession outline
- Who it is for
- AI application builders and working professionals evaluating practical AI workflows.
- Audience group
- AI Application Builders
- Suggested level
- All levels
- Skill focus
- an AI-Assisted Bugfix with Review Evidence
- Series
- Build With Ajay
- Session format
- Live hands-on workshop, tested outcome and Q&A
- Duration
- 180 minutes (3 hours)
- Price
- ₹399 per language session
- Language
- English and Hinglish
Questions before you join
What will I leave with?+
You will leave with a reviewed bugfix with before and after evidence. We will test it on sample inputs and note its limits.
What should I prepare before joining?+
No prior experience required Bring a computer and use synthetic or public examples; credentials and paid provider accounts are optional for fixture-based exercises.
Are the English and Hinglish workshops different topics?+
Both language sessions cover Build an AI-Assisted Bugfix with Review Evidence. Choose one language session; each registration covers one three-hour workshop.
You have the curiosity.
Let’s turn it into capability.
Start with a practical workshop or bring a specific question to Ajay.