Description
Add a cookbook example under examples/cookbook/e2b/ that combines Moss's semantic search with E2B's cloud code execution sandboxes. This cookbook can be inspired by daytona cookbook we already have at the moment.
Use case
E2B is a popular choice for AI coding agents that need fast, disposable execution environments without self-hosting infrastructure. Paired with Moss's sub-10ms semantic retrieval, this pattern enables:
- Self-healing agents: agent finds the relevant code via Moss, patches it, and validates the fix runs clean in an E2B sandbox before proposing it
- AI code review: retrieve related functions/tests from the index, execute them against a candidate change in isolation
- On-demand code tutors: search for examples semantically, then run them live in a sandbox without any local setup
- Primary beneficiaries: developers building AI coding assistants, teams evaluating Moss for code intelligence use cases, and anyone who wants a production-ready reference for the Moss + LLM + sandbox pattern using E2B specifically.
Proposed solution
Follow the structure and conventions of examples/cookbook/daytona/ exactly, swapping Daytona's SDK for e2b or feel free to propose your own idea using Moss with E2B
Description
Add a cookbook example under examples/cookbook/e2b/ that combines Moss's semantic search with E2B's cloud code execution sandboxes. This cookbook can be inspired by daytona cookbook we already have at the moment.
Use case
E2B is a popular choice for AI coding agents that need fast, disposable execution environments without self-hosting infrastructure. Paired with Moss's sub-10ms semantic retrieval, this pattern enables:
Proposed solution
Follow the structure and conventions of examples/cookbook/daytona/ exactly, swapping Daytona's SDK for e2b or feel free to propose your own idea using Moss with E2B