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Your tireless AI development team. Agent Teams launch as a native background agent, reads your project CLAUDE.md and implementation plans, then works autonomously: writing code, running builds, fixing errors, and iterating until the feature ships. You stay free for other tasks while Agent Teams build in the background.
The Agent Teams Autonomous Dev Loop is a core Agentik {OS} capability designed to accelerate software development by autonomously executing implementation plans. Operating as a native background agent, Agent Teams seamlessly integrates with existing developer workflows, eliminating the need for cumbersome API keys through inherited OAuth. It intelligently consumes project context from key documentation files such as CLAUDE.md, task prompt files, and .planner/tracker.json, ensuring a comprehensive understanding of the project's goals and architecture. Once initiated, Agent Teams enters an autonomous build-fix-iterate loop, continuously refining code until all errors are resolved and the feature is ready for deployment. This iterative process significantly reduces human intervention in the debugging phase. For complex tasks, Agent Teams can dynamically spawn sub-agents to parallelize work, each subject to Guardian verification for quality assurance. Throughout its operation, Agent Teams maintains transparent communication by updating a status report files file, providing real-time progress reports to the development team. This empowers organizations to achieve faster feature delivery cycles and reallocate valuable human capital to strategic initiatives.
Capabilities
Every feature is production-tested across multiple client projects.
Native background agent inheriting OAuth — no API keys needed
Reads CLAUDE.md, task prompts, and .planner/tracker.json for full context
Autonomous build-fix-iterate loop until zero errors
Can spawn sub-agents for parallel work with Guardian verification
Status reporting via result files and Telegram notifications
Use Cases
Real-world scenarios where this skill delivers measurable results.
Imagine a minor bug report comes in for a legacy system. Agent Teams can autonomously analyze the bug report, identify the faulty code section, implement a fix, and iterate until the bug is resolved, all without direct developer intervention.
For well-defined, incremental feature additions, Agent Teams can take a detailed implementation plan and autonomously develop the feature. This frees up human developers to focus on higher-level design and architectural challenges.
When a new API endpoint is required with clear specifications, Agent Teams can generate the necessary code, implement the logic, and ensure it integrates correctly with existing systems. This accelerates the expansion of service capabilities.
Benefits
Key advantages of deploying this skill in your workflow.
Automates iterative development, significantly reducing time-to-market for new features and bug fixes.
Minimizes manual intervention in the development and debugging process, freeing up developer resources.
The autonomous build-fix-iterate loop ensures rigorous error resolution and adherence to defined project standards.
Real-time status updates keep teams informed without requiring constant direct oversight.
Workflow
From zero to production-ready in minutes.
Read project docs, prompt file, and any active implementation plan.
Write code changes file by file following project conventions.
Run builds, read errors, fix each one, rebuild — up to 10 iterations.
Verify the feature works as expected, then report completion.
FAQ
Common questions about Agent Teams Autonomous Dev.
Agent Teams precisely reads and interprets key project documentation such as CLAUDE.md for overall project goals, task prompt files for specific task instructions, and .planner/tracker.json for detailed implementation plans. This multi-source contextual awareness allows it to grasp the nuances of each development task.
While Agent Teams is designed for extensive autonomous error resolution, if it encounters an unresolvable issue, it will halt its loop and clearly report the problem in status report files, providing detailed logs and context for human intervention. This ensures that no task gets stuck indefinitely without notification.
When Agent Teams spawns sub-agents for parallel work, a 'Guardian' oversight mechanism is in place. This Guardian agent monitors the sub-agents' progress, adherence to instructions, and output quality, stepping in if deviations or critical errors are detected to ensure the overall integrity of the development process.
Book a discovery call and we will set up Agent Teams Autonomous Dev as part of your AI-powered development pipeline.