Jev founder's 10-step harness makes coding agents faster and cheaper
Using Jev as a decision layer, the harness scores context per query, reveals tools in tiers, loads instructions by condition and routes by trust, claiming to make agents 200x faster and 400x cheaper.
ok this is a f*cking cheat code for coding agents how to make them 200x faster and 400x cheaper with Jev engineering Jev founder Diogo Amogo put the whole harness into a 12-page PDF, 10 steps: 1. meet Jev the LLM writes, the harness executes, Jev decides what each turn sees, where it routes and whether it runs 2. ask the question that breaks every agent how would you build one if LLMs had no KV cache? 3. quit blind routing Claude Opus 5.5 -> Sonnet 5.5 -> Opus costs 6.19, Opus alone 4.15, because every handoff reprocesses the full context 4. follow the tokens reading and searching eat 56.2% of tool turns and 46.5% of tokens, writing code stays under 10% 5. score each chunk per query hide it, summarize it or keep it whole, and compress once the question is known 6. reveal tools in tiers one-line snippets for hundreds of tools, full schema on demand 7. load instructions by condition a *.tsx edit pulls the style guide, billing/ pulls its gotchas file, compaction can't wipe either 8. route by trust as well as difficulty secrets and infra stay on first-party frontier models, public docs go to the cheapest one 9. reuse one retrieval pass review, evals, explainers and progress pages all run read-only in the background 10. gate every command allow / ask / deny policies read the whole script before it runs hand this PDF and the article below to Claude Code or Codex and start shipping faster
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