ai-driven-development vs patchwork — Codebase Conventions for AI Agents
ai-driven-development is a plugin bundle for AI coding tools published by CodeAlive-AI. Marketplaces we read that list it: 1 (Community GitHub marketplaces). patchwork — Codebase Conventions for AI Agents is an MCP server published by SaiNarayana-B. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-16. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  patchwork — Codebase Conventions for AI Agents | |
|---|---|---|
| Community marketplace codealive-ai/ai-driven-development | Listed Version: 10.0.1 Forks (GitHub): 15 Stars (GitHub): 163 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.1.7 Downloads/month (PyPI): 108 Downloads/week (PyPI): 17 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | ai-driven-development | patchwork — Codebase Conventions for AI Agents |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 163 (better) | 0 (worse) |
| Forks (GitHub) (differs) | 15 (better) | 0 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (patchwork-conventions) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 22 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/codealive-ai/ai-driven-development | github.com/sainarayana-b/patchwork |
| Changes in the last 7 days (differs) | 2 | 0 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
ai-driven-development
An umbrella collection of 23 skills + 1 hook for AI-driven development: agent self-configuration (MCP / hooks / settings / skills / plugins / cross-agent repository readiness / safe CLI installation), engineering practices (maintainable complexity, prompt engineering, FPF problem solving, bug-fix protocol, planning gate, repository-history investigation, repository activity summary, C# refactoring), AI infrastructure (OpenRouter endpoint ranking and routing), research & docs (Semantic Scholar deep research, URL-to-Markdown, ubiquitous-language thesaurus), macOS & Windows health & cleanup, and niche utilities (clipboard, Windows QA). Plus a Claude Code Bash safety hook.
patchwork — Codebase Conventions for AI Agents
Scan any codebase, generate CONVENTIONS.md, expose conventions as MCP tools for AI agents.
How to run each
ai-driven-development As a Claude Code plugin
/plugin marketplace add codealive-ai/ai-driven-development
/plugin install ai-driven-development@ai-driven-developmentpatchwork — Codebase Conventions for AI Agents As a local MCP server: PyPI package
claude mcp add --transport stdio patchwork -- uvx patchwork-conventionsCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: ai-driven-development · What it can do: patchwork — Codebase Conventions for AI Agents · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.