Cursor Bugbot vs Qodo multi-agent code review
Cursor Bugbot (Anysphere) and Qodo multi-agent code review (Qodo (Codium Ltd.)) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.
| Field |  Cursor Bugbot |  Qodo multi-agent code review |
|---|---|---|
| Vendor | Anysphere | Qodo (Codium Ltd.) |
| HQ | United States · North America | Israel · Middle East |
| Primary category | Code security | Code security |
| Also listed in | Code security, Security | Code security |
| Summary | Cursor’s AI pull-request reviewer. Official docs say it identifies bugs, security issues and code-quality problems and comments with explanations and suggested fixes. | Agentic pull-request review platform (formerly CodiumAI) that flags bugs, security issues and rule violations with organisational context. A general code reviewer, not a dedicated SAST scanner. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pr review, appsec, remediation | pr review, appsec, code quality |
| Pricing (as published) | Usage-based on Individual and Teams plans; no separate Bugbot subscription. Cursor’s Bugbot page states Individual plans use included usage first, Teams bill from on-demand usage, and the average review costs $1.00–$1.50 depending on PR size. Enterprise trials are arranged with the account team. | Free 14-day trial. Pro Team plan (designed for up to 30 users) is listed from $30 on qodo.ai/pricing with pooled credit packs at $0.012 per credit (for example 2,500 credits ≈ 18 reviews/month); Enterprise (30+ users, SSO, on-prem, BYOK) is custom. Confirm the billing unit on the vendor page. |
| Pricing model | published-tiers | published-tiers |
| Primary source | https://cursor.com/docs/bugbot | https://www.qodo.ai/products/qodo-merge/ |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://cursor.com/docs/bugbot | https://www.qodo.ai/products/qodo-merge/ |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with Cursor Bugbot or Qodo multi-agent code review. Open a pair page or the use-case table — this is not a ranking.
- Equixly Agentic AI Hacker (continuous API pentesting) — Italian offensive-security platform whose agentic AI hacker continuously maps APIs and applications, chains API interactions to find exploitable flaws, and validates findings for remediation.
- Escape (AI pentesting and DAST) — Offensive security platform using AI agents for attack surface discovery, business-logic DAST and multi-agent pentesting (Cascade) of APIs and web apps. · Escape (AI pentesting and DAST) pair comparison
- Hadrian Nova (agentic pentesting) — On-demand penetration testing run by a fleet of AI hacker agents, paired with Hadrian Atlas for continuous external exposure management.
- Intruder AI Pentesting — On-demand, code-aware web-app pentesting by AI agents built by Intruder's CREST-certified testers, with audit-ready reports in hours and issue-level 'micro pentests' to triage scanner findings.
- Pixee (automated triage and fix) — Security 'harness' that triages SAST/SCA/DAST/secrets findings for exploitability, opens fix pull requests with the analysis attached, works inside coding agents, and builds design-stage threat models. · Pixee (automated triage and fix) pair comparison
- Xygeni DevAI and CoreAI (agentic AppSec) — Agentic AppSec from Valladolid-based Xygeni: DevAI scans code in the IDE and generates validated fixes (including for AI-generated code), while CoreAI prioritises risk and orchestrates remediation PRs across the platform. · Xygeni DevAI and CoreAI (agentic AppSec) pair comparison
- ZeroPath (AI-native SAST and autofix) — AI-native AppSec platform that finds business-logic and auth flaws, validates findings from existing SAST tools, runs PR security reviews and generates one-click patches refined in natural language. · ZeroPath (AI-native SAST and autofix) pair comparison
Use-case comparisons
- AI code security agents — 17 listings (Application security scanning, suggested or automated code fixes, and pull-request security review)
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