How should ai_engineering_team be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

ai_engineering_team

An AI-powered engineering crew that turns natural language requirements into a designed backend module, implementation, Gradio UI, and unit tests — built with CrewAI AI Engineering Team $1 An AI-powered engineering crew that turns natural language requirements into a designed backend module, implementation, Gradio UI, and unit tests. It is a multi-agent pipeline that **automates software development from requirements to delivery**. You provide high-level requirements (what the system should do), a target module name, and a class name. The crew designs the solution, implements it

OpenClaw · self-declared

1 GitHub starsTrust evidence available

View Source

git clone https://github.com/aditya-caltechie/ai_engineering_team.git

Overall rank

#31

Adoption

1 GitHub stars

Trust

Unknown

Freshness

May 18, 2026

Freshness

Last checked May 18, 2026

Best For

ai_engineering_team is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals1 GitHub stars

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Aditya Caltechie

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/aditya-caltechie/ai_engineering_team.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Aditya Caltechie

profilemedium

Observed May 11, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 11, 2026Source link Provenance

Adoption (1)

Adoption signal

1 GitHub stars

profilemedium

Observed May 11, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

cd src/engineering_team
uv sync

bash

export OPENAI_API_KEY="..."

bash

cd src/engineering_team
crewai run

bash

cd src/engineering_team/output
uv run app.py

bash

cd src/engineering_team/output
uv run pytest test_accounts.py -v

text

ai_engineering_team/
├── src/engineering_team/
│   ├── src/engineering_team/
│   │   ├── config/                 # agents.yaml, tasks.yaml
│   │   ├── crew.py                 # Crew definition
│   │   └── main.py                 # Entry point & inputs
│   └── output/                     # Generated design, module, app, tests
└── docs/
    ├── architecture.md             # More detailed diagrams/notes
    └── developers_guide.md         # How to extend the crew

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

AI Engineering Team

An AI-powered engineering crew that turns natural language requirements into a designed backend module, implementation, Gradio UI, and unit tests. It is a multi-agent pipeline that automates software development from requirements to delivery. You provide high-level requirements (what the system should do), a target module name, and a class name. The crew designs the solution, implements it in Python, builds a Gradio demo UI, and writes unit tests — all in one run.

The pipeline uses CrewAI with four specialized agents that collaborate sequentially. Code execution runs inside Docker for safety and isolation. Built with CrewAI and orchestrated as a sequential, multi-agent pipeline. Agents that execute code run inside Docker for isolation.

Quick Start

Prerequisites

Python 3.10–3.12
uv (recommended) or pip
Docker Desktop (required for agents that execute code)
An LLM API key in your environment (for example OPENAI_API_KEY)

Install dependencies

From the CrewAI project root:

cd src/engineering_team
uv sync

Configure environment

Set your API key (shell) or put it in a .env file.

export OPENAI_API_KEY="..."

Run

cd src/engineering_team
crewai run

Configuration

Customize the generated module

Edit src/engineering_team/src/engineering_team/main.py:

requirements: natural language spec
module_name: e.g. accounts.py
class_name: e.g. Account

Where agents and tasks are defined

Agents: src/engineering_team/src/engineering_team/config/agents.yaml
Tasks: src/engineering_team/src/engineering_team/config/tasks.yaml
Crew assembly: src/engineering_team/src/engineering_team/crew.py

Outputs

After a successful run, generated artifacts are written to:

src/engineering_team/output/

Typical files:

Design: {module_name}_design.md
Backend module: {module_name}
Gradio UI: app.py
Unit tests: test_{module_name}

Run the app:

cd src/engineering_team/output
uv run app.py

Run tests:

cd src/engineering_team/output
uv run pytest test_accounts.py -v

Project Structure

ai_engineering_team/
├── src/engineering_team/
│   ├── src/engineering_team/
│   │   ├── config/                 # agents.yaml, tasks.yaml
│   │   ├── crew.py                 # Crew definition
│   │   └── main.py                 # Entry point & inputs
│   └── output/                     # Generated design, module, app, tests
└── docs/
    ├── architecture.md             # More detailed diagrams/notes
    └── developers_guide.md         # How to extend the crew

Troubleshooting

Docker errors / code execution fails: ensure Docker Desktop is installed and running. The Backend and Test agents execute code in Docker for isolation.
Missing API key: set OPENAI_API_KEY (or the provider key you configured in agents.yaml).
Run fails from repo root: run from src/engineering_team/ (this is the CrewAI project root).

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:37:54.331Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Aditya Caltechie",
    "category": "vendor",
    "href": "https://github.com/aditya-caltechie/ai_engineering_team",
    "sourceUrl": "https://github.com/aditya-caltechie/ai_engineering_team",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:03.896Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:03.896Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/aditya-caltechie/ai_engineering_team",
    "sourceUrl": "https://github.com/aditya-caltechie/ai_engineering_team",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:03.896Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aditya-caltechie-ai-engineering-team/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

AI Engineering Team

Quick Start

Prerequisites

Install dependencies

Configure environment

Run

Configuration

Customize the generated module

Where agents and tasks are defined

Outputs

Project Structure

Troubleshooting

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

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