GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.
GAN-Style Harness Skill 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. Core Insight 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. When to Use 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
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