AI Coding Agents Are Changing Engineering Teams
About this episode
Deepak Bapat discusses the impact of AI coding agents on engineering teams and the importance of systems thinking in software development.
Deepak Bapat, CTO and co founder at Tabs, joins The Tech Trek to talk about how his team is using tools like Claude Code and Cursor, where AI is helping, and why systems thinking may matter more than raw coding ability as engineering work shifts. Practical Takeaways • AI coding agents are already producing useful production work, but judgment still matters. • Tool choice may be less important than standardizing the expected output. • Messy repos can make AI generated work harder to trust, so cleanup and patterns matter. • The future engineer may look more like a product engineer with strong systems thinking. • Teams may move from debating features to rapidly building multiple versions and testing what works. Timestamped Highlights 00:37 What Tabs does and why contracts create hard revenue workflow problems for B2B finance teams. 02:16 Deepak compares pre AI engineering work with the current shift toward AI assisted development. 05:09 How the Tabs engineering team uses Claude Code, Cursor, and other coding tools in real work. 08:13 Why inconsistent codebases create more risk when teams add coding agents 14:00 The idea that teams can build the same feature multiple ways in one…
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