How to Automate Software Development with Factory AI Agents

Development teams are increasingly using autonomous agents to handle the busywork of shipping software. Factory AI takes this further by running AI agents across your entire engineering workflow, from planning to pull requests. Here is how to automate software development with Factory AI agents.

Connect your existing tools. Start by linking Factory AI to GitHub, GitLab, Linear, Jira, and Slack. This gives agents access to your issues, codebase, and communication, so they understand what needs to be done and where.

Let agents pick up backlog items. Assign a sprint or issue queue to an agent. Factory AI breaks large tasks into manageable steps, writes code, and opens a pull request for review.

Add human approval gates. Configure the workflow so every merge requires review. Agents propose changes, your team approves, and the platform applies them safely. This keeps you in control while delegating the heavy lifting.

Automate tests and refactors. Use Factory AI to generate tests, fix bugs, and run routine refactors or dependency upgrades automatically. These are perfect tasks for agents because they are repetitive and well-defined.

Coordinate multiple agents. For large monorepos, let specialized agents handle different services in parallel. Factory AI orchestrates the work so it aligns with your roadmap and project context.

Automating development with Factory AI lets your engineers focus on architecture and review while AI handles repetitive implementation. Start small with one workflow, measure the time saved, then expand agent coverage across your team.