AI co-pilots propose code within our IDEs, but **AI Coding Agents** can independently resolve repository issues. By linking models to virtual terminal boxes, compilers, and git endpoints, agents can write, run, verify, and patch software autonomously.

The Coding Agent Cycle

An autonomous coding agent runs inside a sandboxed environment to prevent system damage, operating through a loop of: plan, edit, run tests, observe output, self-debug, commit changes.

// Sandboxed Agent Execution Workflow
async function resolveBug(issueDescription) {
    const plan = await agent.plan(issueDescription);
    await agent.applyEdits(plan.files);
    
    const testResult = await sandbox.execute("npm run test");
    if (!testResult.success) {
        // Feed compiler traceback errors back to LLM to self-debug
        const fix = await agent.debug(testResult.errors);
        await agent.applyEdits(fix.files);
    }
    await sandbox.execute("git commit -am 'Auto-patched issue'");
}

Practical Applications

Coding agents can run overnight on repositories, resolving low-priority issues, refactoring outdated functions, and auto-generating missing unit tests.