Graphcoder provides a platform that orchestrates multiple autonomous coding agents to work in parallel on isolated copies of a codebase, enabling faster code generation, testing, and merging without conflicts. Developers can monitor each agent’s activity in real time via a web dashboard or CLI and choose supervision levels from fully manual approval to autonomous execution, giving granular control over AI‑generated changes.
Funding
Funding not disclosed
Founders
Product
Problem
Developers using AI coding assistants often experience slow, sequential workflows where a single agent handles tasks step‑by‑step, leading to long wait times and frequent merge conflicts. Additionally, lack of visibility and control over the agent’s actions can result in unwanted code changes or the need for extensive manual supervision.
Solution
Graphcoder addresses these issues by orchestrating multiple autonomous coding agents that work in parallel on separate copies of a codebase. Each agent can research, write, and test code independently, while the orchestrator breaks tasks into subtasks and aggregates results. Users stay in the loop through real‑time visibility of each agent’s conversation, changes, and decisions, and can choose supervision modes that range from asking before every action to fully autonomous execution. The platform provides both a CLI and a web dashboard for managing the agent tree, reviewing diffs, and merging approved changes without conflicts. This parallel, isolated approach accelerates development cycles and gives developers granular control over AI‑generated code.
Target Audience
Primary users are individual developers, development teams, and software engineers who need faster, controllable AI‑assisted coding workflows, as well as tech startups and enterprises looking to integrate parallel coding agents into their development pipelines.
Features
- Parallel agent architecture that splits tasks into a tree of child agents for concurrent code generation and testing
- Isolated workspaces giving each agent its own copy of the repository to prevent interference and merge conflicts
- Real‑time visibility of agent activity, conversations, and diffs via a web interface
- Multiple supervision modes: supervised (ask before every action), autonomous (check‑in on key decisions), and headless (no human interaction)
- CLI integration with simple commands (`graphcoder web` or `graphcoder cli`) and one‑line installation script
- Dashboard for navigating the agent tree, approving changes, and managing approvals
- Tiered pricing plans with usage limits and access to advanced frontier orchestrator models