jev-codex-router vs Cognition AI

The two products operate at completely different levels. Devin is an end-to-end autonomous engineer: it plans, writes, tests, opens pull requests, works review comments (auto-fixes on open PRs), and persists sessions across runs. Cognition layers in operational features enterprises actually ask for — Auto-Triage turning monitored bugs into fix PRs, a Security Vulnerability Remediation Program, native Windows VMs, and the FrontierCode 1.1 benchmark and rubric (correctness, test quality, scope discipline, style) to judge whether code is merge-worthy. Model-wise, SWE-2 arrived September 10 2026 at multiple effort levels, SWE-1.7 remains the cheaper frontier option, and Fusion (for Fable and Astra) shipped September 11 2026 in Devin Desktop and CLI with a claimed up-to-39% benchmark efficiency gain. jev-codex-router does none of that. It's a routing layer between Codex and the backend that makes a per-call decision — model, capability tier, effort depth, route lease — rather than one session-wide setting. It routes continuations after tool calls, uses a Luna → Terra → Sol → Astra tier ladder, mandates Astra policy for architecture/risk review, relays Responses/SSE verbatim, and offers fail-open behavior plus a sentinel kill switch. It improves Codex; Devin replaces the workflow.

Pricing is the starkest difference. Cognition sells by contact — no public tier, no self-serve trial, an enterprise contract, and the posture of a platform-team deployment. The upside is the promised outcomes: FedRAMP High In-Process for regulated buyers and an up-to-$10M guarantee tying spend to productivity. The downside for a buyer is that you can't try Devin without involving procurement and a platform team, and the value only materializes if you have review capacity for agent-authored PRs. jev-codex-router is free under MIT from GitHub (0xNatoshi/jev-codex-router). The cost is your time and infrastructure: you install from a README and install.sh, run a local server component, keep the embedded Codex Router fork updated, and accept no support contract, no SLA, and no published release notes. It also won't claim a measured quota-savings figure before you adopt — it publishes a backtest protocol with explicit limitations instead. So the honest comparison is enterprise budget and procurement overhead versus zero license cost and engineering maintenance burden. One is a line item; the other is a maintenance commitment.