AI is producing more code than ever. So why does it feel like quality is getting worse?
In this episode of AI Thoughtmakers, we sit down with Ankit and Joydeep, Tech Leads at
GeekyAnts, for a no-filter conversation about what
code quality and engineering excellence actually mean in the age of AI and why the rules of the game haven't changed as much as people think.
From who owns a $10 million bug when AI wrote the code, to why chasing 100% test coverage is overrated, to what engineering excellence will look like when AI is writing 95% of the code by 2030, this is the conversation senior engineers are having internally but rarely say out loud.
Key topics covered:
• Why more AI-generated code means more bugs — and why reviews are now more critical than ever
• How engineering priorities have shifted from writing code to questioning architecture
• The 100% test coverage myth — and what actually guarantees software quality
• Why business alignment matters more than advanced tech choices for startups
• Why AI code needs more scrutiny than human-written code — and how to review it right
• The right way to do code reviews — stop checking variable names, start checking logic
• Why cutting corners is sometimes valid — but only if you document it
• What engineering excellence means in 2030 when AI writes 95% of the code
• Why the future engineer's most valuable skill is decision-making, not coding
If you're an engineer, tech lead, or engineering manager trying to stay ahead of the curve without losing sight of what actually makes software good — this episode is for you.
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