WhatA platform that optimizes the orchestration layer (harness) around any LLM to dramatically improve coding agent performance without changing the underlying model.
SignalThe creator demonstrated that the same model (Gemini Flash) can jump from 47.8% to 65.2% on a coding benchmark purely through harness improvements — techniques like AST-aware context, batched operations, and smarter file editing — suggesting the orchestration layer is massively underexploited.
Why NowLLM capabilities have plateaued enough that the marginal gains from model improvements are shrinking, while harness/scaffolding engineering is proving to deliver outsized performance jumps on the same models.
MarketEnterprise dev teams and AI coding tool vendors who pay $50-500/seat/month for coding assistants; TAM roughly $5-10B as AI-assisted development becomes standard. Competes with raw model providers but fills a gap none of them address well.
MoatAccumulation of proprietary techniques (AST-based context curation, hash-anchored edits, batched operations) that compound — each optimization interacts with others, making it hard to replicate piecemeal.
Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-previewView discussion ↗ · Article ↗ · 354 pts · April 27, 2026
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