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Stop Babysitting Your Agents – Let Them Work as a Team

Stop Babysitting Your Agents – Let Them Work as a Team

by laurentenhoor·Feb 23, 2026·1 point·0 comments
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AI Analysis

●MidSolve My ProblemShip It

Replaces agent orchestration with deterministic code, but 'multi-agent dev team' space is crowded.

Strengths
  • •Clever architectural insight: moving orchestration from prompts to guardrails-as-code reduces token waste and state corruption.
  • •Real operational value: 60-80% token savings, atomic tool calls prevent step-skipping failures.
  • •Integrated workflow: Telegram UX + GitHub tracking + automatic model selection by task complexity.
Weaknesses
  • •Narrow platform lock-in: requires OpenClaw + Telegram + GitHub, limiting portability.
  • •Crowded category: Devbox, Cursor, Continue, and native agent frameworks already address multi-step orchestration.
Target Audience

Teams using AI agents for development, multi-project managers

Similar To

Cursor · Continue · GitHub Copilot Workspace

Post Description

I built DevClaw, an OpenClaw plugin for managing multiple dev projects from my phone without losing oversight or control.

It's simple but opinionated: issues are your backlog, PRs are your deliverables, Telegram groups are your project rooms. That's it. No dashboards, no custom UI, no new tools to learn. You write issues, DevClaw picks them up, assigns the right developer tier based on complexity, writes the code, opens PRs, runs QA review, and loops back on failures — all automatically.

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