The Agentic Software Development Lifecycle (docs.overcut.ai)

AI coding agents have transformed software development over the past year, enhancing developers' productivity by assisting with code generation, refactoring, and testing directly within integrated development environments (IDEs). However, the software development lifecycle (SDLC) still relies heavily on manual processes, which are fragmented and poorly coordinated. The introduction of the Agentic Software Development Lifecycle aims to address this gap by introducing an orchestration and automation layer that treats software development as a cohesive system rather than a series of disconnected tasks. This approach enables workflows to be triggered by real events, such as bug reports or change requests, automating tasks like ticket creation, root cause analysis, and documentation updates while keeping humans in the loop for key decision points. The role of developers shifts from direct operators of tools to orchestrators of intent, allowing them to focus on policy and oversight instead of manual task execution. With prebuilt, customizable workflows available through platforms like Overcut, teams can enhance their development processes, leading to a more continuous, reliable, and scalable software development environment in an AI-driven landscape.