AI Coding Agents - Page 2

Share Multica agent context through native guidance and Skills, then add read-only repository facts with source and revision controls.

Multica coordinates agents and tasks, while large codebases still need module, call-chain, impact, and test evidence.

Multiple Ralph loops can share repository knowledge safely while isolating branches, task state and write scope.

Ralph knowledge graph integration lets each coding loop query modules, dependencies, tests and past changes.

Ralph code search problems can make agents miss existing features because text search cannot model code relationships.

Stop Ralph rereading repository loops by using module indexes, dependency maps and task-level retrieval.

Ralph fresh context can reduce old-chat pollution, but it also risks losing useful repository knowledge.

Ralph Loop memory should separate task status, project rules, experience and code structure instead of one file.

Ralph Loop large codebase workflows need more than repeated search to recover modules, calls and architecture constraints.

CodeWhale Fleet context sharing uses task-scoped evidence, an external read-only repository map, and verifiable worker receipts.