Cohere research: heterogeneous agent teams match performance at a fraction of the cost
Cohere_Labs · x · 2026-10-23
Cohere Labs announced research on heterogeneous multi-agent coding teams: strategically allocating compute — cheap models for planning, stronger models for implementation — achieves near-optimal rewards at a fraction of the cost of homogeneous teams. Work led by Keenan Samway, Daniel D'Souza, Omar Darwiche Domingues and others. Paper: cohere.com research blog.
More from coding & agent
- Stop micromanaging agents: give them tools, objectives, feedback and guardrails — andreisavu · 2026-10-23
- Developers Don't Code Anymore — Now Their Job Is Rotating Secrets Daily — Dan_Jeffries1 · 2026-10-23
- If someone trojaned pentesting tools amid the vibe coding scramble, who'd notice? — generativist · 2026-10-23
- New paper: coding agents in a shared sandbox self-create rules, reciprocity debts, and coalitions — nandofioretto · 2026-10-23
- Developer runs AI project managers that manage their own AI agents to build his game — draginol · 2026-10-23
- RentAKaren: a real service that rents humans to handle complaints your AI agent can't win — mathemagic1an · 2026-10-23