User Tools

Introducing Painted Wolf Code

  • Format: Talk 50 minutes
  • Difficulty: Intermediate to Advanced
  • Track: AI & Development Tools
  • Additional Tags: Local-first AI, AI Coding Agent, Go, YAML, Security Scanning, OSS
  • Experience: Principal Security Engineer, founder of Painted Wolf, and creator of Painted Wolf Code.

Description:

Painted Wolf Code is an Apache-2.0, local-first AI coding agent built in Go and specifically tuned for open source models. Designed to provide greater transparency than SaaS alternatives, it operates as a workflow engine using declarative YAML and composable templates for agent personas and tool guidance. The system emphasizes reliability and security through a durable evidence ledger that grounds agent output with verified citations, and integrated security scanning—including SCA, secrets detection, and SAST—which is wired directly into workflow gates. This session introduces a local-first approach to AI coding where orchestration is tuned for open source models, prioritizing deep customization and evidence-based verification.

Target Audience: Software developers interested in AI-assisted coding

  • Security engineers and DevSecOps professionals
  • Open source advocates and local-first software enthusiasts