ARCHITECTURE DIAGRAM
CODEX / CLAUDE CODEOFFICIAL TYPESAFE SKILLWORKFLOW CODE + DOCS
Overview & Result
The author keeps Astra in charge of planning, difficult decisions, review, and integration; Muse performs bounded coding work; Jev Context selects relevant excerpts before context reaches the main coding agent.
How Jev fits in the loop
- The coding workflow receives a task plus candidate files or logs.
- Jev Context selects excerpts relevant to that task and preserves their locations.
- The main coding agent reviews the compact context and continues the implementation.
How to reproduce
- Read the repository instructions and identify the two skills or instruction layers it adds to Codex.
- Run a small coding task with a large file or log set and inspect which excerpts Jev Context selects.
- Compare the selected context and task outcome with a full-context baseline before making cost claims.
Why this build matters
This is a direct example of Jev acting as a context gate inside a real coding-agent workflow rather than generating the implementation itself.
Limitations
- The post does not report an independent token-savings or accuracy benchmark for Jev Context.
- Delegation quality depends on the task boundary and on the primary agent reviewing the handoff.
- Filtering context must not remove instructions, paths, or error details required for safe execution.