Snowflake's CoCo Cuts AI Agent Costs by 33-45% with Three Harness Techniques
StasBekman · x · 2026-08-26
Snowflake AI Research presents improvements to its AI coding agent CoCo and CoWork, achieving 33-45% lower cost per trial in end-to-end benchmarks with comparable or better reliability.
- Problem: In long data-analysis sessions, tool schemas, skill catalogs, raw tool results, and conversation history can be re-read every turn, causing context bloat that increases cost and hampers focus.
- Solutions:
- On-demand tool and skill loading: Retrieve only what the current step needs, removing 79K tokens from processing.
- Two other techniques further reduce context processing.
The work emphasizes that agent cost is not solely a model problem but also a context management issue.
Related event: Snowflake Cuts AI Agent Costs by 33-45%(2 posts)→
More from coding & agent
- 21-person team ships hundreds of PRs weekly with AI writing 97% of the code — rseroter · 2026-10-16
- Figma launches Code Layers in open beta, uniting design and code on one canvas — beeonaposy · 2026-10-16
- Heisentools: let an agent rewrite a mock.py until it mirrors any real tool's API — kieranklaassen · 2026-10-16
- Dev mulls Rust rewrite of agent platform because speed-of-light compile times matter for agents — lucasmeijer · 2026-10-16
- Bland launches branded iMessage agents sharing personas with voice and SMS bots — ycombinator · 2026-10-16
- Codex drives a physical CAN-bus motor, eyeing a fully Codex-built robot — OpenAIDevs · 2026-10-16