What's inside the report?
Software engineering is entering a throughput race. As AI coding agents become a commodity, the real differentiator is no longer which model you use, it's how well your platform governs agent execution at scale. This whitepaper defines four levels of agentic software development, grounded in primary research across hundreds of engineering organizations, and maps exactly how the role of the human - and the platform - changes at each stage.
Key takeaways:
- The four levels of agentic development, defined: from Level 1 (human in the loop, agents as coding assistants) through Level 2 (human on the loop, parallel agent execution with automated validation) to Level 3 (humans as orchestrators, continuous background execution) and Level 4 (fully autonomous, self-initiating agents responding to environmental signals)
- Why the transition from IDP to ADP is non-negotiable: how Internal Developer Platforms must evolve into Agentic Development Platforms that integrate probabilistic systems (foundation models, coding agents) with deterministic systems (CI/CD pipelines, policy enforcement, ephemeral environments)
- The most underestimated shift in agentic development: why validation must stop being a human-walked gate and become an industrial feedback loop that agents execute repeatedly until deterministic checks pass
