ABOUT THIS EPISODE
Claude Code can produce more code than an engineer can comfortably review. Trusting that output takes a repeatable workflow, protected learning time and checks that catch a solution to the wrong problem.
Andrey Devyatkin and Fernando Gonçalves join Kaido Koort to explore agentic engineering training, agent-led specs, validator sub-agents, session handoffs, verification versus validation, and what Claude certifications actually demonstrate.
What you will learn:
- How six Fridays progress from brownfield orientation to parallel agents
- How competing validator sub-agents expose trade-offs before implementation starts
- How transcript-based wrap-ups turn forgotten decisions into actionable issues
- Why verification and validation need separate gates for agent output
- How autonomy, parallelism and skill usage reveal different learning gaps
Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai
English
United States
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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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