October 9, 2025, 11am PT | 2pm ET
For all the excitement surrounding it, AI-code generation has yielded — at most — limited and patchy gains in engineering productivity. The problem isn’t the code generation, it’s that writing code is only a small part of software engineering. Fortunately, there are things you can do to overcome the roadblocks and achieve the efficiency and output AI has promised.
On October 9, Will Wilson and Akshay Shah, distributed systems engineers and software quality nerds at Antithesis, and TNS Host Chris Pirillo will dive into these issues. They’ll discuss why AI isn’t boosting engineering productivity, the bottlenecks engineering organizations face, and how to make the gains you’re looking for.
Key Takeaways:
- Why AI code generation delivers only partial wins today, with real productivity still constrained by quality and context gaps.
- How speeding up coding can shift the bottleneck to debugging, testing, and long-term maintainability.
- How to rethink workflows and tooling to integrate AI generation seamlessly into engineering practices.
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