Sol Advisor: Fixing AI Coding Blind Spots via Role Separation
alex_verem · x · 2026-08-20
Sol Advisor is an open-source workflow designed to address the critical flaw in AI coding tools where models grade their own homework. The core issue is confirmation bias: when a model plans, builds, and reviews the same feature, it tends to wave through its own mistakes because it has already committed to the approach.
The project breaks this loop by splitting responsibilities into distinct roles:
- Architect: Plans the work and writes the spec.
- Builders: Two roles handle implementation—one for routine tasks, another for risky, complex code.
- Fresh Reviewer: The key component. A reviewer with no memory of the conversation examines the finished code "cold." It sees only the diff and evidence, unaware of the builder's intent or assumptions, and returns one of three verdicts: Ship it, Fix it, or Rethink it.
Work cannot be marked done until this clean review approves it. While currently built for a specific toolchain, the core principle—preventing the same context that wrote the code from approving it—is universally applicable for trustworthy AI engineering.
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