gandazgul
Carlos Ravelo's RunWield project helps developers let AI agents change code without losing engineering control. It turns requests into risk-appropriate workflows, reviewable Plans, validated implementation, and durable Work Records.
At a Glance
- Experienced software developers
- Engineering teams adopting AI coding agents
- Teams maintaining real, existing codebases
- Developers and teams needing auditable planning, validation, and delivery evidence
AI Tools by gandazgul
(1)
RunWield
Plan First Coding Agent Harness
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Latest News
RunWield v0.11.5 stable release promoted from v0.11.5-rc.8
v0.11.5-rc.8 release: image generation/editing, Workspace Session archive/restore, MCP reconnect, Epic branches, mascots, and delivery evidence improvements
RunWield published 'Black Box AI is a Liability for Serious Engineering.'
RunWield published 'The Overconfident Intern: Why Your AI Assistant Is Burning Out Your Seniors.'
Products & Services
A source-available, free-to-use coding harness built on Pi. It provides request triage, specialist Agents, collaborative Plan review, isolated execution, mechanical checks, independent AI review, guided code review, Work Records, Workspace, and project memory. It is distributed as a compiled wld binary for macOS and Linux.
A local document-storage and retrieval CLI built in Go for project and global agent memory. It uses SQLite, hybrid vector/BM25 search, optional local ONNX embedding and reranking models, and has no cloud dependency.
Market Position
RunWield positions itself against chat-first and output-first AI coding workflows and broader 'software factory' approaches that expose sessions but do not make intent, approval, validation, and delivery proof the durable control surface. Its differentiator is plan-by-default execution with human approval before code, independent review and repair, Git delivery proof, and repository-resident Markdown artifacts. The repository says it builds on Pi and can use Claude Code CLI and other backends, so those are integrations/backends rather than evidence of a separate corporate competitor.
Leadership
Founders
Carlos Ravelo
GitHub identifies Carlos Ravelo (gandazgul) as an experienced Solutions Architect and Principal Software Engineer with more than 18 years designing scalable, performant systems. LinkedIn search results identify him as Technical Lead, Full Stack Engineer at ClassWallet; the public GitHub profile links to linkedin.com/in/carlosravelo/.
Executive Team
Carlos Ravelo
Creator and maintainer; Solutions Architect / Principal Software Engineer
GitHub describes him as an experienced Solutions Architect and Principal Software Engineer with 18+ years of experience; LinkedIn search results identify a Technical Lead, Full Stack Engineer role at ClassWallet.
Founding Story
Ravelo describes RunWield as a response to AI coding workflows that generate code before developers can review intent and that leave senior engineers paying a 'supervision tax.' The initial vision was a plan-driven coding harness: review the AI's human-readable Plan first, execute in isolation, validate mechanically and semantically, and preserve the outcome as project memory.
Business Model
Revenue Model
RunWield is described in its repository as source-available and free to use for personal, internal, or commercial work. The public materials do not state a subscription, usage, or services revenue model.
Target Markets
- Experienced software developers
- Engineering teams adopting AI coding agents
- Teams maintaining real, existing codebases
- Developers and teams needing auditable planning, validation, and delivery evidence
- Experienced developers working in existing codebases
- Teams deciding where AI agents should collaborate versus operate autonomously
- Turning ambiguous product or engineering work into validated changes
- Planned feature work, bugs, refactors, migrations, and larger Projects/Epics
- Local, privacy-conscious agent memory and repository knowledge retrieval