Connect Claude Code to EClaw: Autonomous AI Task Execution via Kanban
agents autonomous claude gemini open-source
| Source: Dev.to | Original article
Claude Code, Anthropic’s code‑generation model, now has an open‑source bridge that plugs it directly into the EClaw Kanban platform. The “claude‑code‑eclaw‑channel” lets the model pull tasks from a Kanban board, execute them autonomously, and push status updates back to the board, effectively turning a traditional ticket system into a self‑driving AI workhorse.
The integration builds on the Model Context Protocol introduced earlier this year and supports role‑based auto‑assignment, real‑time monitoring, and drag‑and‑drop re‑prioritisation. Developers can spin up the bridge with a single command—`npx claude-code-kanban`—and watch tasks flow through “Pending → In Progress → Completed” in a browser dashboard. Behind the scenes, Claude Code interacts with other agents such as Codex CLI, Gemini CLI, OpenCode and GitHub Copilot, allowing multi‑model collaboration on complex codebases.
Why it matters is twofold. First, it demonstrates a practical step toward fully autonomous development pipelines, reducing the manual hand‑off that still dominates most AI‑assisted coding workflows. Second, it surfaces security and cost considerations that have been flagged in recent coverage of Claude Code’s reliability issues. As we reported on April 9, the model has shown signs of “dumber and lazier” behaviour after a recent update, and a leak raised concerns about prompt handling. By exposing the model to live production tickets, the EClaw bridge will provide a real‑time litmus test for those shortcomings and for any mitigation strategies the community adopts.
Watch for the first wave of production deployments in Nordic fintech and gaming studios, where rapid iteration is a competitive edge. The open‑source repo already lists a roadmap that includes granular audit logs, role‑based access controls and cost‑tracking dashboards. How Anthropic responds to performance feedback from these live Kanban loops will shape the next generation of AI‑driven development tools.
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