Agentic Software Delivery

Agentic software delivery is an engineering approach where AI agents participate in planning, implementation, testing, review and delivery workflows within defined permissions, verification processes and human oversight.

Traditional automation is a predefined system performing a predefined action. In agentic engineering an agent can understand context, plan a task, use engineering tools, modify code, run tests, analyze results, prepare changes and request approval, while its autonomy remains bounded.

Controlled autonomy means the objective is not maximum agent autonomy but useful autonomy within controlled engineering boundaries: what agents can read and modify, which tools and environments they can use, which changes require approval, how actions are logged and how outputs are evaluated.

AI coding agents are software agents that can understand development tasks, inspect codebases, modify files, use development tools, run tests and prepare changes for human review.

No. AI coding agents automate or assist bounded engineering tasks while engineers remain responsible for architecture, critical decisions, verification and production ownership.

AI can generate code quickly, but generated code can still contain functional, architectural or security issues. Automated and human verification helps ensure that increased development velocity does not create disproportionate engineering risk.