Side-by-side · one page · cited cells

How Mejepa is different.

Eight dimensions. Five alternatives. Mejepa cells cite the FSV plan; competitor cells cite public documentation. Cells without a defensible public source are marked "not publicly disclosed." Refresh date: 2026-05-20.

Dimension MEJEPA CodeRabbit Greptile SonarQube AI self-grading Senior reviewer
Ground truth source Docker oracle on SWE-bench Lite, per-instance report.json SHA-256 in the signed packet LLM-generated review comments LLM agent reads codebase, summarizes PR changes Rule-based static analysis (security CWEs, code smells, complexity) The same model that wrote the code grades the code Human judgment, ~50 lines per minute
Verdict shape Pass / Fail / Abstain + named failure mode + closest exemplar Natural-language review comments + suggestions Natural-language PR summary + comments Rule violations + severity (Blocker/Critical/Major/Minor) "Looks good to me" + optional comments Approve / Request Changes / Comment
Falsifiable? Yes — predicts oracle outcome before merge; correlation measured weekly on 8/30 holdout No — natural-language opinion No — natural-language opinion Partial — rules are deterministic, but rule coverage is not the same as patch correctness No — same model produces assertion and grade Partial — reviewer can be checked against post-merge outcome, but not at scale
Independent verifiability ed25519 + SHAKE-256 witness chain; replay offline in ~30s with the published public key Not publicly disclosed Not publicly disclosed Audit-quality reports exist; signed witness chain: not publicly disclosed None — no audit artifact Reviewer's name on the PR; auditable at sample, not at scale
Languages (at ship-gate) Python only at ship-gate; capture infrastructure multi-language Multi-language (Python, JS, TS, Go, Java, …) Multi-language ~30 languages All languages the underlying model supports Limited by reviewer fluency
Agent integration 57 mejepa_* MCP tools; integrates with Claude Code, Cursor, Windsurf, Cline, Continue, Replit GitHub PR comments, webhook integrations GitHub / GitLab / Bitbucket integrations CI plugins for major build tools N/A — runs inside the agent Out-of-band human workflow
Pricing posture today Founder-fielded pilots only; per-engagement; hosted offering fenced until ship-gate green Per-developer SaaS subscription Per-developer SaaS subscription Community / Developer / Enterprise tiers Included with agent Engineering-org cost; not unit-priced
Pick this when… An auditor, insurer, customer, or counsel asks "how do you know the AI got this Python code right?" You want inline LLM commentary on PRs You want a codebase-aware LLM that reads the whole repo before commenting You want long-established static analysis and quality-gate enforcement Speed over independent assurance High-stakes patch where a human in the loop is non-negotiable
A leather-bound ledger open on a walnut desk. Six columns of hand-written copperplate, the leftmost in vivid oxblood reads 'MEJEPA'; the remaining five in muted grey read CODERABBIT, GREPTILE, SONARQUBE, AI SELF-GRADING, SENIOR REVIEWER. Eight row labels in archival italics. A brass page-weight rests at the top of the leftmost column.

Mejepa is complementary, not replacement

Use Mejepa when an external party needs to replay the patch's verdict offline and confirm it themselves. Keep CodeRabbit or Greptile for natural-language critique inside the PR. Keep SonarQube for static-rule gating. Keep human reviewers for high-stakes judgments. Mejepa's job is the signed receipt — the one a stranger can verify without trusting Mejepa.