# AI Code Labs

**Canonical:** https://apis.io/providers/aicodelabs-dev/  
**Website:** https://aicodelabs.dev/  
**APIs profiled:** 0

AI Code Labs, founded by Harald Rohan, offers small free experiments that showcase the capabilities of AI applied to legacy .NET code. The site provides tools such as repository health checks, migration risk assessments, code age guessing, and retirement readiness evaluations. Each experiment runs in the browser, allowing developers to quickly gain insights into code modernization challenges and receive actionable feedback. The platform emphasizes transparency, humor, and practical guidance for developers navigating codebase evolution.

## Kin Score — 5.4 / 100 (minimal)

Scored 2026-11-02 under rubric 0.26.0. Trend: flat (+0.0 from 5.4).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 11.9 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Aicodelabs Dev Domain Security** — TLSv1.3

## Tags

Company, Artificial Intelligence, .NET, Code Modernization, Experiments

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/aicodelabs-dev/). Scores are computed from the provider's own public artifacts under a published rubric.