Security boundaries, governance, and delivery practices for AI agents in real systems.
AI coding agents are becoming part of software delivery. The hard question for product teams is how much autonomy they get, what they can access, and how their work is verified before it reaches production.
AI coding agents can speed up delivery, but production teams need bounded permissions, short-lived credentials, policy gates, sandboxing and audit logs before giving agents real access.
Agentic coding tools can now change files, run commands, and influence delivery. Serious teams need production gates for secrets, dependencies, tests, architecture, and auditability.
AI agents can accelerate software delivery. In production workflows, they also need scoped permissions, reviews, tests, logs, and operating rules.
AI agents can be useful in real business workflows, but only when access, auditability, approval boundaries and accountability are designed before production rollout.
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Topic guides
Legacy systems, make-or-buy decisions, and technical renewal without a reckless rewrite.
Open guide and articles 02From product judgement and prototypes to dependable apps, platforms, and SaaS products.
Open guide and articles 03System boundaries, backends, cloud infrastructure, and decisions that keep software maintainable.
Open guide and articles 04Security boundaries, governance, and delivery practices for AI agents in real systems.
Open guide and articles