Prompt and Context Optimization for Coding Agents
Coding agents often underperform on long-horizon tasks due to suboptimal prompts and insufficient or poorly structured context.
Synth is a platform that benchmarks coding agent setups and optimizes prompts and context using selected models, harnesses, and task datasets to improve performance.
Developers and teams building or deploying coding agents in software engineering workflows.
Josh is the founder and CEO of Synth. Before Synth, Josh was employee #3 and research scientist at Basis, which uses AI agents to automate accounting tasks. Previously, he built out the ML core of a Cyber Threat Intelligence SaaS product at Halborn, a cyber security startup that acqui-hired his startup Politeia. He founded Politeia while wrapping up a Math undergrad at Yale, where he did time-series ml research for fun.