Qodo is live · pricing from $30/user/mo · last verified 26 Oct 2026 · viability healthy
Qodo
Agentic AI code review that enforces your team's standards on every pull request and inside your coding agents.
Buy Qodo when code review has to survive an audit, not just catch a null check. The Agentic Toolbox and shift-left skills give coding agents a real quality counterpart, and self-learning rules turn tribal conventions into enforceable, traceable standards. Pro Team at $30 plus pooled credits at $0.012 works up to 30 users — but SSO/SAML, audit logs, BYOK, Gerrit, and on-prem land on Enterprise.
Verdict generatedVerified 4d ago · liveness 81/100 · cite: rightaichoice.com/tools/qodo
- Engineering orgs standardizing code quality across many repositories and languages
- Teams running AI coding agents that need an independent quality and governance layer
- Engineering leaders wanting centralized risk, resolution-rate, and audit visibility
- Microservices architectures needing cross-repo contract verification before merge
- Solo maintainers who want a review bot running in minutes with no rule setup
- Teams needing SSO/SAML or audit logs while staying on the Pro Team plan
- High-volume PR shops unwilling to monitor credit burn or set an overage cap
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Skip Qodo if you run one or two repositories and want a review bot installed in an afternoon — the self-learning rules setup and credit metering only pay off once you have many repos and repeated PR volume to learn from.
Heavy review volume drains your pooled credits faster than expected: past 2,500 credits you are at overage at $0.012 per credit, though Qodo lets you set a monthly spending cap.
Pro Team at $30/user/month with credits pooled at $0.012 and monthly billing (no commitment) fits teams up to 30 users — cheaper and more flexible than CodeRabbit-style per-seat review bots once you count pooled review volume, but far above a bare linter or GitHub-native review. Past 30 users, Enterprise custom pricing with SSO/SAML, audit logs, BYOK, and on-prem puts Qodo in the budget band of SonarQube Enterprise or a compliance platform, not a developer-tool add-on.
In short
Qodo — Agentic AI code review that enforces your team's standards on every pull request and inside your coding agents. Best for Engineering orgs standardizing code quality across many repositories and languages, Teams running AI coding agents that need an independent quality and governance layer, Engineering leaders wanting centralized risk, resolution-rate, and audit visibility. Plans from $30/user/mo.
No head-to-head comparison for Qodo yet — the alternatives below are the closest matches we list.
What is Qodo?
Qodo — Agentic AI code review that enforces your team's standards on every pull request and inside your coding agents. Best for Engineering orgs standardizing code quality across many repositories and languages, Teams running AI coding agents that need an independent quality and governance layer, Engineering leaders wanting centralized risk, resolution-rate, and audit visibility. Plans from $30/user/mo.
Qodo is an AI code review and governance platform built for engineering teams that now ship code with coding agents in the loop. Specialized review agents fire on every pull request and reason over full codebase context — repositories, past PR diffs and discussions, tickets, and specs — so findings land on real bugs, rule violations, and requirement gaps instead of style nits. The October 2026 release of Qodo 3.0 reframed the product around "code review for agents, governance for humans," positioning Qodo as quality control inside the agentic software factory. The work splits into three areas. Review covers context-aware PR review, shift-left review skills that run inside your own coding agent, local review inside VS Code and JetBrains, and the Agentic Toolbox — a CLI-powered quality counterpart for agents including Codex, Claude, and Kiro. Standards turns scattered conventions into a living rules system: rules self-learned from your codebase and PR history, rule health monitoring that surfaces conflicts and decay, and enforcement tracking so you can see how often issues get fixed before merge. Governance adds risk intelligence across teams and repos, an audit trail on every issue and compliance flag, repo relationship mapping, and cross-repo contract verification that catches breaking changes before merge. The Software Map, launched September 2026, tracks blast radius across repos and services; Advanced Configurations let teams control which findings reviewers see first. Pricing is credit-metered at $0.012 per credit, pooled across the team, with no limits on repositories, users, or reviews. Pro Team is $30/user/month for up to 30 users; SSO/SAML, audit logs, BYOK, Gerrit, and on-prem sit on Enterprise. It fits established engineering orgs standardizing quality across many repositories. Teams on one or two repos often find the rules and credit setup heavier than a review bot they install in minutes.
Key features
- Agentic PR code review with full codebase context on every pull request
- Context Engine pulls context from codebase, PR history, tickets, and specs
- Wisdom Base brings codebase and requirements into the agentic SDLC
- Self-learning rules derived from codebase patterns and PR history
- Rule enforcement tracking shows how often issues resolve before merge
- Rule health monitoring surfaces conflicting and decaying rules
- Cross-repo contract verification catches breaking changes across services
- Shift-left review skills run inside the developer's coding agent
- Local review workflows inside VS Code and JetBrains IDEs
- Agentic Toolbox: CLI-powered quality counterpart for coding agents
- Works inside Codex, Claude, and Kiro agent workflows
- Software Map tracks risk and blast radius across every repository
- Advanced Configurations control which findings reviewers see first
- Risk intelligence tracks findings, resolution rates, and risk concentration
- Audit trail logs every issue and compliance flag for traceability
Behind the verdict
Qodo's pitch has shifted over the past year, and the shift matters for buyers. It used to be an AI PR reviewer competing on how many bugs it caught. Qodo 3.0 reframes it as the governance layer for an agentic software factory: your coding agents do the building, Qodo does the checking, and your standards sit in a rules system both sides read from. We'd reach for this when the problem is consistency rather than coverage. If you have ten teams, four languages, and an architecture where one repo's schema change silently breaks three downstream services, the cross-repo contract verification and Software Map are the features that earn the subscription. The audit trail and resolution-rate tracking also give engineering leaders something to show beyond a review count. When to pass: small teams. A two-repo shop gets little from a rules lifecycle that needs history to learn from. Installing a standard review bot takes minutes; tuning Qodo's rule enforcement and credit packs takes real setup time. Watch the credit meter. Unused base credits don't roll over, and large PRs draw more than small ones. Set the overage cap on day one — the good news is overage bills at the same per-credit rate, so there's no premium for going over. The closest alternative depends on what you're solving. If you just want fast inline comments, lighter-weight PR review bots cost less and need no configuration. If you want org-wide standards enforcement tied to an agentic workflow, Qodo's rules-plus-governance combination is hard to replicate across GitHub, GitLab, and Bitbucket without stitching tools together. One caveat in practice: the self-learning rules improve with PR history volume, so the first month on a quiet repo feels generic. Give it a busy codebase and the output sharpens noticeably.
Models under the hood
as of 2026-10-23
Limitations
- Qodo is a code-review and governance layer rather than a code-generation tool, and it is priced and packaged for teams: Pro Team is designed for up to 30 users at $30/user/month (monthly billing, no commitment) with a 14-day free trial, and Enterprise is custom-priced for 30+ users.
- Reviews are credit-metered at $0.012 per credit pooled across the team, with roughly 18 reviews/month per 2,500 credits, so heavy review volume consumes credits proportionally — a customer-set monthly overage cap and switchable credit packs help control it.
- Enterprise adds SSO/SAML, audit logs, governance analytics, advanced self-learning, and BYOK, so those requirements force a custom contract.
- The scraped sources do not name which underlying LLM Qodo runs on.
as of 2026-10-09
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Is Qodo still active?
Qodo is live · pricing from $30/user/mo · last verified 26 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Qodo? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What's new in Qodo
Checked 4 days agoAcross the latest 10 updates: 2 feature updates, 2 launches, 5 community discussions and 1 news mention.
Building quality into the agentic workflow
Qodo blog post on embedding quality controls into agentic development workflows.
Which LLM should review your code?
Qodo compares LLM options for automated code review.
From Delegation to Collaboration: Inside Qodo's Dark Factory
Qodo details its internal Dark Factory approach to agent-driven development.
Does Jev make AI code review more efficient?
Qodo evaluates whether the Jev model improves AI code review efficiency.
What Every Software Factory Needs That No Model Will Provide Itamar Friedman
Qodo CEO Itamar Friedman argues software factories need governance that models alone cannot supply.
Introducing Qodo 3.0: Quality and Governance for the Agentic Software Factory
Qodo 3.0 released, adding quality and governance controls for agentic software development.
The 2026 State of AI Code Quality Report: Verification Is the New Bottleneck
Qodo publishes its 2026 State of AI Code Quality report, citing verification as the new bottleneck.
Introducing the Software Map in Qodo: Risk, Mapped Across Every Repo
Qodo adds Software Map, mapping risk and blast radius across repositories and services.
Introducing Qodo for Codex: Quality Built Into the Agentic Workflow
Qodo releases an integration bringing quality checks into the Codex agentic workflow.
Built for Agents, Better Outcomes for Humans: Introducing Qodo's Agentic Toolbox
Qodo launches Agentic Toolbox, a CLI-based quality layer for coding agents.
What do users say about Qodo?
What people actually say about Qodo — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 4 sources (Hacker News, YouTube, Stack Overflow, Lemmy) · researched Oct 13, 2026.
Weighted by the 41 posts each of 4 sources contributed.
- +Context Engine pulls PR history, tickets, and specs — not just the diff — into every review
- +Shift-left review skills run inside the developer's own coding agent, catching issues earlier
- +Self-learning rules mined from codebase patterns reduce the need to hand-write every convention
- +Rule health monitoring surfaces conflicting and decaying rules before they quietly rot
- +Cross-repo contract verification catches breaking changes across microservices pre-merge
- −Multiple 2026 HN threads report Qodo flooding PRs with noise and false positives
- −Reviewers reportedly don't learn when a dev explains why a finding is wrong
- −Credits are metered, so review volume scales costs in ways small teams under-price
- −Comparison threads flag Cursor Bugbot as giving far more monthly quota for similar money
- −Rules and governance setup is heavy for teams running one or two repositories
- • Credits are metered separately from the per-user seat price, so review volume drives cost unpredictably
- • Heavy rule sets and agentic checks can consume credits faster than teams estimate
- • Cross-repo contract verification and Software Map are Enterprise-gated, so the differentiated features sit behind a 30+ user floor
How we verified this
Every listed fact about Qodo— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Qodo 21 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing tiers, who should skip it, summary, description
- — changed pricing page
- — changed SSL certificate, summary, features, who it suits, description, pricing tiers, our verdict
- — changed limitations, pricing page, pricing tiers, description, who it suits, features, who should skip it, summary, our verdict
- — changed features, switching in, setup time, limitations, description, our verdict, summary, pricing tiers, who should skip it, switching out, pricing fit, hidden costs, pricing page
- — changed switching out, description, our verdict, features, hidden costs, limitations, switching in, who should skip it, pricing tiers, pricing fit, setup time, summary, use cases
Showing the 6 most recent of 21 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Qodo cost in 2026?
Qodo: Plans from $30/user/mo. Pricing last verified 26 Oct 2026.
Plans compared
Every published Qodo tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free 14 Day Trial | Free trialVendor: “$0” | trial | A team evaluating Qodo on real repositories before committing budget — install with admin access, no credit card required.Adds: Starting tier: unlimited reviews and rules during the trial, with 2,500 credits (~18 reviews/mo), 5,000 (~36 reviews/mo), or 20,000 (~144 reviews/mo) to size the fit. |
| Pro Team | $30/user/moVendor: “$30/user/month” | monthly, per seat | Engineering teams up to 30 users running agentic review across multiple repos who don't need SSO or on-prem.Adds: Adds pooled credits at $0.012 each, switchable credit packs, a customer-set monthly overage cap, cross-repo capabilities, shift-left skills, strict data retention, and monthly billing with no commitment. |
| Enterprise | Custom | quote | Organizations with 30+ users, regulated delivery requirements, or Gerrit and air-gapped deployment needs.Adds: Adds SSO/SAML, audit logs, BYOK, advanced self-learning, custom agentic workflows, Gerrit support, single-tenant SaaS or on-prem/air-gapped, priority support with SLA, dedicated CSM, and annual negotiated contracts with MSA/DPA. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Qodo's pricing actually pencils out — and where peers do it cheaper.
Pro Team at $30/user/month with credits pooled at $0.012 and monthly billing (no commitment) fits teams up to 30 users — cheaper and more flexible than CodeRabbit-style per-seat review bots once you count pooled review volume, but far above a bare linter or GitHub-native review. Past 30 users, Enterprise custom pricing with SSO/SAML, audit logs, BYOK, and on-prem puts Qodo in the budget band of SonarQube Enterprise or a compliance platform, not a developer-tool add-on.
Has Qodo's pricing changed?
No plan price for Qodo has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Qodo?
Pick Qodo if you are Engineering orgs standardizing code quality across many repositories and languages, Teams running AI coding agents that need an independent quality and governance layer, Engineering leaders wanting centralized risk, resolution-rate, and audit visibility, Microservices architectures needing cross-repo contract verification before merge.
Look elsewhere if you are Solo maintainers who want a review bot running in minutes with no rule setup, Teams needing SSO/SAML or audit logs while staying on the Pro Team plan, High-volume PR shops unwilling to monitor credit burn or set an overage cap, Small teams on one or two repos where credit-based metering adds overhead.
Skip it if Skip Qodo if you run one or two repositories and want a review bot installed in an afternoon — the self-learning rules setup and credit metering only pay off once you have many repos and repeated PR volume to learn from.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Qodo actually fits — and what changes day-one when you adopt it.
Installs Qodo on GitHub, lets it index repos, PR history, and Jira tickets, then turns on cross-repo review for shared contract repos.
Outcome: Breaking contract changes across services get flagged on the pull request before merge, and the Software Map shows which repos carry the most risk.
Wires the Agentic Toolbox into the agent workflow so agent-authored diffs get an independent CLI-driven review pass with organizational rules applied.
Outcome: Agent output stops reaching human reviewers unreviewed, and rule violations get caught inside the loop where they were created.
Deploys Qodo single-tenant or on-prem with SSO/SAML, audit logs, and BYOK, and reviews the governance analytics dashboard for unresolved findings.
Outcome: Every issue and compliance flag has a traceable audit record, and risk concentration across teams is visible in one place.
Use cases
- Run multi-agent review on every pull request to surface logic gaps, security issues, and rule violations before merge.
- Turn conventions scattered across wikis and PR comments into deterministic rules every developer and agent follows.
- Give coding agents a CLI-powered quality counterpart so agent-authored diffs get independent review.
- Review and fix flagged code locally in VS Code or JetBrains without leaving the editor.
- Track risk concentration, finding volume, and resolution rates across teams and repositories in one dashboard.
- Catch breaking contract changes across microservices before they merge into production.
- Self-host Qodo in air-gapped environments for compliance and data sovereignty requirements.
- Keep a traceable audit history of every issue and compliance flag for regulated software delivery.
Setup time & first value
How long it actually takes to get something useful out of Qodo — broken out by persona, not the marketing-page minute.
Install on GitHub, GitLab, or Bitbucket with admin access and the first reviews run in minutes — you sign in with GitHub, Google, or email and need no credit card during the 14-day trial. Meaningful value takes longer: self-learning rules need PR history to mine, and cross-repo contract verification and the Software Map need several repos connected before they show anything useful.
Switching to or from Qodo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CodeRabbit: connect the same Git provider, let Qodo index PR history, then port your standing review preferences into the Rules & Skills Lifecycle.
- →From a linter-plus-bot stack: keep the linters, move policy enforcement into Qodo rules so both humans and agents read the same standards.
- →From manual review checklists: run Rule Miner over example PRs to codify existing conventions instead of rewriting them from scratch.
- ↗To CodeRabbit: export or recreate your rule set as review instructions, since CodeRabbit's configuration model differs from Qodo's Rules Lifecycle.
- ↗To SonarQube Enterprise: move static-analysis policy there and accept losing cross-repo contract verification unless you rebuild it.
- ↗To a GitHub-native review bot: expect to drop self-learning rules and the governance audit trail, which have no equivalent.
Resources & guides
- Resourceqodo.ai
Custom RAG pipeline for context-powered code reviews
Discover how Qodo Merge uses Retrieval-Augmented Generation (RAG) to bring AI context to PR reviews—improving accuracy, speed, and scalability for dev teams.
- Resourceqodo.ai
Why Static AI Rule Files Like AGENTS.md Are Failing (and What Actually Works)
Read about Why Static AI Rule Files Like AGENTS.md Are Failing (and What Actually Works) in our blog.
- Resourceqodo.ai
How HiBob Scales Engineering Velocity Without Sacrificing Quality
Read how HiBob made Qodo their governance layer for code review, scaling quality alongside AI-generated output.
Tutorials & Learning
YouTube returned 6 videos for “Qodo”, and we withheld 6: 6 could not be judged, because “Qodo” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Qodo.
Official links
What are the best Qodo alternatives?
The closest alternatives to Qodo we list are CodeRabbit, Pullflow and Deepsource. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| CodeRabbit | Freemium | Pricing not published | — |
| Pullflow | Freemium | Pricing not published | — |
| Deepsource | Freemium | Pricing not published | — |
Alternatives to Qodo
View allCodeRabbit
AI code review that reviews, prioritizes, and secures every pull request your team ships.
Pullflow
PullFlow syncs GitHub pull request reviews into Slack and VS Code, with AI agents in every PR thread.
Deepsource
AI code review platform that combines 5,000+ static analysis rules with an AI review agent on every pull request.
Tools that pair well with Qodo
Common stack mates teams adopt alongside Qodo, with the specific reason each pairing earns its keep.
CodeRabbit
AI code review that reviews, prioritizes, and secures every pull request your team ships.
Pullflow
PullFlow syncs GitHub pull request reviews into Slack and VS Code, with AI agents in every PR thread.
Deepsource
AI code review platform that combines 5,000+ static analysis rules with an AI review agent on every pull request.
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