Introducing Agentic Pipelines: AI automation for chores devs don’t want to do

This post introduces 'Agentic Pipelines' within Bitbucket Pipelines, enabling the orchestration of AI agents to automate tedious development chores. It provides a concrete example of an agent that automatically updates README files based on code changes, raising a PR for review. The post also details five additional use cases with public repository examples: automated security vulnerability identification and fixing, feature flag cleanup, release note generation, PR summarization, and ensuring test coverage quality. The technical implementation involves defining agents in `bitbucket-pipelines.yml` with specific prompts, constraints, and required scopes for repository access. The system is currently in open beta.