Build an AI Coding Agent

Coding agents combine LLM code generation capabilities with tool access: reading files, running commands, searching documentation, and managing git repositories. The agent can iterate on code, fix errors, and produce production-quality output.

To build a coding agent with Plugsky, define tools for file operations (read, write, list), shell execution, git commands, and code search. The agent uses these tools to understand, write, and test code.

Plugsky's coder model is specifically optimized for code generation tasks, with strong performance on HumanEval and other coding benchmarks. Combined with the agent framework, it can handle complex multi-file projects.

Best practices for coding agents include: providing clear error messages in tool outputs, implementing human review for destructive operations, using version control for all changes, and setting timeouts for long-running tasks.

Start building your coding agent in the Plugsky playground — the free tier includes all the tools you need to get started.