Teaching AI to debug
AI can write code, refactor functions, and describe what went wrong, but can it actually debug?
A live conversation about the craft of debugging and what AI can learn from the way you think.
💡 The event
Modern AI models can write and ship code, but they still falter when something breaks. Debugging remains one of the last deeply human workflows....built on observation, reasoning, and reflection.
In this session, we’ll explore how developers think through bugs, what makes debugging a reasoning-first process, and how new AI agents are learning to follow that same loop; watching, hypothesising, and verifying like a real engineer.
👩💻 Who’s this for?
Engineers, AI builders, and curious product folks who’ve ever said:
“Cursor got me to working code fast, until it stopped working.”
🔍 What we’ll do
Unpack why debugging ≠ fixing — and why even the best AIs still struggle with it
Walk through the 5-step debugging loop most engineers follow instinctively
See live demos of AI copilots reading logs, reasoning in real time, and bumping into their limits
Explore how process-aware, runtime-connected debugging agents are beginning to close that gap
🎁 What You’ll Gain
• A 5-step debugging framework you can apply (and teach to AI) to think through bugs systematically.
• Practical tips to make AI copilots better at debugging today — from adding the right context to enforcing repeatable processes.
• A look at what’s next: process-aware, runtime-connected debugging copilots that reason like engineers.
🧰 What to bring
Your curiosity, your debugging stories, and maybe that one bug that still haunts you.
🎙 Host
Sahil Kathpal — AI Product Architect shaping the next generation of intelligent developer tools.
Ex-Slice, Co-founder of Elemential Labs, and part of Forbes 30 Under 30 Asia — building at the intersection of AI systems, developer experience, and fintech innovation.
🗣️ Speakers
Md Mahabub Alam — Co-founder, Napplied AI
A seasoned software architect turned founder, Mahabub has spent years designing intelligent systems that bridge data, reasoning, and business value. At Draup, he architected agentic systems that turned enterprise data into executive insights. Now, with Napplied AI, he’s building an “AI job search agent” — rethinking how people find and match with the right opportunities.
Handan Özgöcen — Founder, Stealth AI Startup (Ex-Accenture, Siemens, Bosch)
Handan builds AI solutions that help service businesses automate calls and customer interactions. A former Accenture team lead with experience at Siemens and Bosch, she combines engineering depth with product execution to bring AI into everyday operations.
Beyond Prompts
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