AI Dev Podcast 8Autonomy of the agent begins with limitations. (Category AI4SDLC)

Out. The new AI Dev Podcast, in which we, together with Vladimir Yatulchik and Andrei Dmitriev, figured out how to move from vibe coding to managed agent development.

TLDR: A standalone agent becomes useful not when it is allowed to write as much code as possible, but when it is embedded in a reproducible engineering process. The more work we delegate to an agent, the clearer the intent, limitations, acceptance criteria, and limits of his rights must be.

Vladimir described how his team adapted AIDLC for internal infrastructure and decomposed the development life cycle into individual skills for agents. In general, we discussed the following issues: Why user stories, ADRs, and working documentation are useful to store in Git next to the code How the traceability matrix connects original design, architectural solutions, implementation and operational metrics Why separate agents who form requirements and decisions from agents who write code? How ADR checks, process safety and integrity keep the agent within the boundaries of design What's left to people -- product, analytics, and engineer -- if agents are increasingly generating code and infrastructure?

We talked separately about the results and limits of the approach. There are already working examples on small projects, but transferring to a large legacy system is a separate test. It’s not enough to have one enthusiast and a well-configured agent: you need a manageable context, easy entry for new entrants, and a process that doesn’t crumble when scaling.

Recording. and sketch release as usual available on my website polomodov.tech

#AI4SDLC #AI #Agents #Engineering #Architecture #PlatformEngineering