Two tools tackling context-switching overhead in AI workflows:
Todos: Slashes the cost of jumping between different coding agents. No more re-explaining your project setup every time you switch tools.
Magpie: Does the same for model switching. Swap between GPT-4, Claude, or local LLMs without losing conversation context or having to re-prompt from scratch.
The combo is getting traction—devs are chaining Magpie's model flexibility with Todos' agent orchestration to build custom coding pipelines. Basically: pick the best model for each task, route it through the right agent, keep context intact across the whole chain.
Todos: Slashes the cost of jumping between different coding agents. No more re-explaining your project setup every time you switch tools.
Magpie: Does the same for model switching. Swap between GPT-4, Claude, or local LLMs without losing conversation context or having to re-prompt from scratch.
The combo is getting traction—devs are chaining Magpie's model flexibility with Todos' agent orchestration to build custom coding pipelines. Basically: pick the best model for each task, route it through the right agent, keep context intact across the whole chain.