What Engineering Organizations Get Wrong About AI Adoption
September 3, 2026
Are we shipping better software, or just more of it? Emilie Schario, VP of Engineering at Anaconda and Co-founder of Kilo (acquired by Anaconda in July after growing from 0 to 3M+ developers in 16 months), joins Itamar Friedman and Nnenna Ndukwe on The Agentic Review podcast to discuss what actually has to change inside engineering organizations once AI tools show up.
Are we shipping better software, or just more of it? Emilie Schario, VP of Engineering at Anaconda and Co-founder of Kilo (acquired by Anaconda in July after growing from 0 to 3M+ developers in 16 months), joins Itamar Friedman and Nnenna Ndukwe on The Agentic Review podcast to discuss what actually has to change inside engineering organizations once AI tools show up.
Key Takeaways:
- Why more AI-generated code isn’t automatically better software
- The real reason AI tool rollouts stall inside engineering organizations
- How to move from token maxing to outcome maxing
- Why model freedom matters more than model loyalty
- Where humans should still own the loop
- How to design for the full spectrum of AI maturity on your team
Emilie Schario is VP of Engineering at Anaconda and Co-founder of Kilo, the open-source agentic engineering platform that grew from zero to more than 3 million developers in sixteen months before being acquired by Anaconda in July. Her career has spanned data, product, operations, company building, and now engineering leadership, giving her a rare cross-functional lens on how AI is reshaping software teams.
Episode resources
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