Building Reliable Agentic Software Factories

I discuss how AI coding agents are changing software delivery, and why faster code generation does not remove the need to understand and maintain a codebase. The talk connects established software-factory practices with agent workflows, using examples, benchmarks, and tooling patterns.

■ Software factories and code quality
- How traditional delivery pipelines evolve with coding, review, testing, and incident-response agents
- What benchmark research and industry examples examine about maintainability and generated code
■ Practical workflows and infrastructure
- Planning, reviewing changes, helping agents test their work, and incorporating user feedback
- Compute, development environments, harnesses, and control planes for coordinating agent sessions
■ Team practices and next steps
- Improving workflows over time and sharing plans, traces, and architecture context
- Resources and the HumanLayer collaborative workspace

For engineering leaders and developers adopting coding agents, this overview offers practices to consider and areas to investigate further. It focuses on workflows and system design rather than a step-by-step implementation guide; viewers can start by reviewing their planning, agent testing, feedback loops, and session-sharing practices.