ABOUT THIS EPISODE
AI writes the code, yet engineers end the day buried in reviews and unsure what shipped.
Andrey Devyatkin, Vladimir Samoylov and Fernando Gonçalves talk with Julien Bisconti about reference implementations, review stopping rules, changing harnesses, token spend and the case for combining cloud expertise with industry knowledge.
What you will learn:
- How reusable reference projects make complex agent instructions concrete
- How a fixed review limit prevents endless rounds of findings
- Why local agent transcripts can become an overlooked store of credentials
- Why token spend alone cannot establish an engineer's productivity
- How business knowledge helps engineers challenge the wrong technical request
Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai
English
United States
IN THIS EPISODE
TRANSCRIPT 🔗
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Loop engineering solves the coding-agent babysitting problem by giving DevOps teams a way to run larger tasks with evidence, constraints, and a clear definition of done. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves unpack outer loops around agents, context-window limits, unattended r…
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