A practical pattern for building reliable agent-based automation: start with a fully agent-driven prototype to understand the problem, then refactor to a hybrid where deterministic code handles flow control and filtering, while agents are narrowly scoped to tasks requiring judgment (like identifying code owners). Illustrated with a real Dependabot security alert workflow that failed when agents were used as drop-in software replacements but succeeded once code handled severity filtering and agents only resolved ownership ambiguity. The result is faster, cheaper, and more maintainable automation.
Sort: