gan-style-harness

Topics in the source

• GAN-Style Harness Skill
• Core Insight
• When to Use
• When NOT to Use
• Architecture
• The Three Agents
• 1. Planner Agent
• 2. Generator Agent

Inspired by Anthropic's Harness Design for Long-Running Application Development (March 24, 2026) A multi-agent harness that separates generation from evaluation, creating an adversarial feedback loop that drives quality far beyond what a single agent can achieve. When asked to evaluate their own work, agents are pathological optimists — they praise mediocre output and talk themselves out of legitimate issues. But engineering a separate evaluator to be ruthlessly strict is far more tractable than teaching a generator to self-critique. This is the same dynamic as GANs (Generative Adversarial Networks): the Generator produces, the Evaluator critiques, and that feedback drives the next iteration. Building complete applications from a one-line prompt Frontend design tasks requiring high visual quality Full-stack projects that need working features, not just code Any task where "AI slop" aesthetics are unacceptable Projects where you want to invest $50-200 for production-quality output Quick single-file fixes (use standard claude -p) Tasks with tight budget constraints (<$10) Simple refactoring (use de-sloppify pattern instead) Tasks that are already well-specified with tests (use TDD wo

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