AI can speed up coding, but what does that mean for software quality, debugging, and engineering teams?
Anshuman and Chayan share their experiences of using AI in software development, from reviewing AI-generated code to managing risks in critical systems.
Key discussion points:
The impact of AI on engineering productivity
Why code reviews are becoming more important
Using AI for simple applications versus critical systems
Debugging AI-generated code
Balancing development speed, code quality, and security
Watch the full conversation for practical insights into where AI adds value to software engineering and where human judgement remains essential.
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