Software development automation is the use of tooling and AI agents to perform engineering tasks such as code generation, test writing, refactoring, dependency updates, and pull-request creation with minimal human intervention. Modern systems combine large language models with execution environments and version-control integrations to act on a codebase rather than merely suggest text. It aims to compress development cycles while keeping humans in the loop for review and intent.
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- Contemporary systems pair large language models with sandboxed execution and version-control APIs so that Agents can edit, run, and verify code rather than only propose snippets. The approach overlaps with Computer Use and Browser Agents when automation extends to operating IDEs, terminals, and web tooling directly, while review gates retain human authority over intent and correctness.