Open source · Pre-launch

Coderoom

Code quality matters. Working with agents puts even more pressure on it. Coderoom is a coding workspace for engineers who want to build better software with agents.

First public release expected on June 15th

CLI-native
Written in Go
Human-led
Pre-launch

The problem

Most AI coding workflows promote delegation over craft.

Many agent workflows call themselves human-in-the-loop. In practice, that often means the human approves or rejects a result at the end, turning the engineer into an acceptance step.

That gets even weaker when the workflow depends on a single model. One model writes, one model reviews itself, and one set of blind spots shapes the result.

Once agents can write files, run commands, or touch remote systems, workflow design becomes a safety issue.

The approach

Coderoom explores a different workflow for agentic engineering.

Human-led
Coderoom is built around human-in-the-lead. The engineer directs the work, uses agents to extend their capabilities, and stays actively involved in decisions.
Mob programming model
Multiple agents can take different roles, with shared review and dialogue rather than one-pass output.
Structured coordination
Agents and engineers use Git as the source of truth and coordination.

Launching soon

First public release expected soon.

Coderoom is in pre-launch. The first release will focus on the core workflow: working with multiple agents while keeping human decision authority.

More material is coming with it, including:

  • a screencast of the workflow in practice
  • a roadmap for the capabilities

Coderoom insights

Writing on the engineering ideas that shape Coderoom.

#coderoom#agentic engineering
5 min read
Mob Programming for One

Agents can generate useful material faster than an engineer can absorb it. This post uses mob programming as a model for structuring engineer-writer-reviewer loops that preserve understanding, scrutiny, and engineering …