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EFFLOOW LAB LAB-RUN

Ai Pair Programming To Autonomous Teams Guide 2026

Evidence notes document the bounded local or source-based checks behind an Effloow article. They are not product endorsements, legal advice, or benchmark claims.

Date: 2026-05-24 Content track: sandbox-poc Slug: ai-pair-programming-to-autonomous-teams-guide-2026

Purpose

Test the workflow mechanics behind moving from one interactive AI pair programmer to a small delegated coding-agent team. This was a local process PoC only. It did not call proprietary coding-agent APIs, did not connect to GitHub, and did not use production credentials.

Environment

  • Machine: local macOS workspace
  • Sandbox directory: /tmp/effloow-agent-team-poc
  • Runtime: Python 3.12.8
  • Dependencies: Python standard library only
  • Network: not used by the PoC
  • LLM calls: 0

Files Created in Sandbox

  • /tmp/effloow-agent-team-poc/agent_team_sim.py
  • /tmp/effloow-agent-team-poc/agent_team_report.json

Commands

rm -rf /tmp/effloow-agent-team-poc && mkdir -p /tmp/effloow-agent-team-poc
python3 --version
python3 agent_team_sim.py

Relevant Output

Python 3.12.8
{
  "environment": {
    "python": "stdlib only",
    "llm_calls": 0,
    "network": false
  },
  "summary": {
    "tasks_total": 4,
    "assigned": 3,
    "blocked": 1,
    "elapsed_ms": 0.03
  },
  "assigned": [
    {
      "task_id": "T1",
      "status": "assigned",
      "reason": "ready for agent assignment",
      "owner": "implementation-agent",
      "files": [
        "app/orders.py"
      ],
      "evidence_required": [
        "tests/test_orders.py::test_total_includes_tax"
      ]
    },
    {
      "task_id": "T2",
      "status": "assigned",
      "reason": "ready for agent assignment",
      "owner": "docs-agent",
      "files": [
        "docs/orders.md"
      ],
      "evidence_required": [
        "docs/orders.md"
      ]
    },
    {
      "task_id": "T4",
      "status": "assigned",
      "reason": "ready for agent assignment",
      "owner": "test-agent",
      "files": [
        "tests/test_checkout.py"
      ],
      "evidence_required": [
        "pytest tests/test_checkout.py"
      ]
    }
  ],
  "blocked": [
    {
      "task_id": "T3",
      "status": "blocked",
      "reason": "spec is too broad; split before delegation",
      "owner": "generalist-agent",
      "files": [
        "app/orders.py",
        "app/checkout.py"
      ],
      "evidence_required": []
    }
  ]
}

What Worked

  • A tiny task-readiness gate was enough to separate assignable work from unsafe delegation.
  • File ownership, expected verification artifacts, and dependency order were useful fields for deciding whether an agent task was ready.
  • The simulation made the review boundary explicit: agent-like delegation should create reviewable artifacts, not silently mutate shared code.

What Failed or Was Blocked

  • Task T3 was blocked because it combined broad refactoring, multiple files, and no verification evidence.
  • The PoC did not measure model quality, coding speed, cost, merge rate, or benchmark performance.
  • The PoC did not run live GitHub Copilot, Codex, Claude Code, Jules, Cursor, or Devin sessions.

Limitations

  • This is a process simulation, not a product review.
  • The article may claim that Effloow Lab ran a local sandbox PoC for delegation gating.
  • The article must not claim that Effloow tested proprietary cloud coding agents end to end.
  • Any claims about commercial tools must be sourced from official documentation or research papers, not from this PoC.

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