Agentic Index
Qodo vs Snyk (2026)
Qodo last verified ·Snyk last verified
Both extend past review into the rest of the development lifecycle. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Qodo pairs specialist review agents with self learning standards, cross repo review and governance analytics, billed on credits pooled across the team at $0.012 each, about $30 a month for the smallest pack. Snyk brings developer security with agentic capabilities including Agent Fix, a multi agent posture product and an AI defense system, with a $0 Free plan and a Team plan from $25 a month covering 10 developers. Both are plausible second purchases after a review agent. Qodo strengthens the code, and Snyk defends it.
On the Agentic Index coding agent ranking, neither Qodo nor Snyk clears the bar, which asks for all five merge loop capabilities documented in full. Qodo does not document observability and auditability in full, nor human oversight and guardrails; Snyk does not document human oversight and guardrails in full. 3 of the 96 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Qodo and Snyk are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Qodo if
- Standards drift across teams is your quality problem, and rules mined from review history close it.
- Cross repo review and governance analytics alongside review consolidate two tools into one.
- A 14 day trial with unlimited reviews lets the team evaluate the findings before you commit.
Choose Snyk if
- Security posture is a requirement rather than an improvement, and that is what this is built for.
- An AI defense system addresses risks specific to how your team now writes code.
- Security tooling from an established vendor carries weight in audits.
| Feature | Q Qodo |
S Snyk |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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QodoIntegrations & Tool Calling Git platform integrations cover GitHub cloud and Enterprise Server, GitLab cloud and self managed, Bitbucket Cloud and Data Center, Azure DevOps, and Gerrit on Enterprise across multi tenant, single tenant and on premises deployments, with the open source PR-Agent adding CodeCommit and Gitea. Before a pull request exists, the Agentic Toolbox installs as verified plugins on the Claude Code, Codex and Kiro marketplaces or over MCP and a CLI, so coding agents can fetch rules, review local changes and resolve findings; the IDE plugins, formerly Qodo Gen, retire on 30 October 2026 in favor of the Toolbox according to their marketplace changelog, and the docs no longer carry an IDE section although the homepage FAQ still lists VS Code, JetBrains and Visual Studio. Chat with Qodo answers in the pull request when addressed as qodo, and reviews draw ticket context from linked issues and Azure Boards work items. Sourceqodo.ai, docs.qodo.ai/llms.txt, docs.qodo.ai/whats-new (Qodo 2.9, 2.10 and 3.0) and docs.pr-agent.airead 2026-10-28 |
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SnykIntegrations & Tool Calling Integrations span source control across GitHub, GitLab, Bitbucket Cloud and Server and Azure DevOps, CI/CD pipelines, IDEs, container registries, cloud providers and ticketing systems, configured at group level. Snyk Broker, deployable via Docker or Helm, reaches SCM instances that are not publicly accessible, and the Snyk MCP server exposes scanning as tools to AI assistants including Claude Desktop, Cursor, Windsurf and Qodo. Sourcedocs.snyk.io/developer-tools/integrations and docs.snyk.io/snyk-apiread 2026-08-30 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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QodoWorkflow Orchestration Review is split across specialist agents for logic and bugs, standards, architecture and risk that run in parallel with dedicated context, and a judge agent consolidates their findings, removes duplicates, resolves conflicts and filters by confidence; a finding recommendation agent then ranks each issue against PR history. Review effort mode, in research preview, routes each change to a review depth matched to its risk, and Spec, Design review and Remediation agents, all in research preview, check implementations against linked specs and Figma designs and open a separate remediation pull request for findings above a severity threshold. PR Triage, in research preview since Qodo 3.0, queues open pull requests across repositories and providers under SLA, priority and blast radius policies. Custom agentic quality workflows are an Enterprise feature. Sourcedocs.qodo.ai/core-concepts/qodo-platform-core-capabilities, docs.qodo.ai/whats-new and qodo.ai/pricingread 2026-10-28 |
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SnykWorkflow Orchestration Multiple specialized agents chain across a discover, remediate, validate and prevent lifecycle. Evo AI-SPM discovers the AI and software attack surface, Agentic AppSec remediates through a CLI or agentic development environment remediation agent, Continuous Offensive Security runs autonomous pentesting and agent red teaming that attacks applications as they change and confirms fixes hold, and prevention gates stop new vulnerabilities from shipping. Agent Fix retries agentically until a fix validates. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-securityread 2026-08-30 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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QodoTriggers & Channel Coverage Reviews fire automatically on pull request events across GitHub, GitLab, Bitbucket and Azure DevOps and on Gerrit change events for Enterprise, with the open source PR-Agent extending coverage to CodeCommit and Gitea. People reach Qodo by addressing it as qodo in a pull request comment or thread, through slash commands, from the Agentic Toolbox's review skill inside a coding agent before a pull request exists, and from the CLI in pre commit hooks and CI gates; the IDE plugins that ran pre commit audits retire on 30 October 2026. Sourceqodo.ai, docs.qodo.ai/whats-new and docs.pr-agent.airead 2026-10-28 |
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SnykTriggers & Channel Coverage Scans fire from source control events, CI/CD pipeline gates, IDE plugins, the CLI, and invocation by third party AI assistants through the MCP server, while Continuous Offensive Security runs continuously against applications as they change rather than on a schedule, and Agent Guard applies at agent runtime in production. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-security and docs.snyk.io/developer-toolsread 2026-08-30 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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QodoKnowledge Grounding & RAG The Context Engine is the platform's knowledge layer and indexes and reasons over the customer's codebases, detecting cross module issues and dependencies across services and across Git providers. PR history indexing indexes each connected repository's pull request history in the background, keeps it current incrementally as pull requests merge and shows its status in the portal, so every finding is classified against how similar issues were handled before. Software Map, in beta, discovers repositories and keeps a live map of their dependencies, contracts and the blast radius of changes, updated with every pull request, and web search for dependency context, in research preview, pulls current documentation for third party libraries. Sourcedocs.qodo.ai/core-concepts/context-engine, /core-concepts/pr-history and docs.qodo.ai/whats-newread 2026-10-28 |
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SnykKnowledge Grounding & RAG A proprietary vulnerability database and a decade of enterprise deployment data confirm which findings are real and exploitable, which Snyk calls ground truth no model produces alone. An AI bill of materials maps the customer's own models, agents, MCP servers, skills and tools, and Continuous Offensive Security returns validated proof of exploitability rather than inferred findings. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-security and snyk.io/news/snyk-launches-agent-security-solutionread 2026-08-30 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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QodoMemory & State Persistence Rule Miner mines the organization's pull request history for recurring accepted review patterns and writes rules from them, up to ten per repository on the first run and more every two weeks, scoped to the organization, repository or the paths they govern and traced back to the pull request each came from. Generated rules either activate directly or wait in a Pending rules tab for an admin to accept; rules can be edited, activated or removed afterwards; and once a rule is active, dismissed suggestions it generates reduce its signal over time so noise fades on its own. The rules persist because the system learned them, not because a person wrote them. Sourcedocs.qodo.ai/governance/rule-enforcement/rule-miner and docs.qodo.ai/whats-newread 2026-10-28 |
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SnykMemory & State Persistence A Discovery Agent maintains a live AI-BOM that a Risk Intelligence Agent continuously enriches, and the platform keeps persistent project and organization state, including scan history and accumulated risk scores. No agent memory with its own scope, lifetime or review and delete path is described. Sourcesnyk.io/news/snyk-launches-agent-security-solutionread 2026-09-29 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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QodoHuman Oversight & Guardrails Output is advisory, since reviews land as prioritized findings and suggested changes on a pull request that a human accepts or rejects, and Qodo says sitting outside the generation loop lets it check code independently rather than approve its own work. The Remediation agent, in research preview, opens its fixes as a separate remediation pull request for review rather than committing to the branch, mined rules can be held in a pending tab until an admin accepts them, and Review Standards and REVIEW.md let teams encode the rules agents apply, with governance analytics on Enterprise. Qodo has no per action approval gate or runtime guardrail of its own, since the agent does not act autonomously on the codebase, and it does not approve or merge pull requests. Sourceqodo.ai, docs.qodo.ai/whats-new and qodo.ai/solutions/enterpriseread 2026-10-28 |
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SnykHuman Oversight & Guardrails A Policy Agent turns plain English governance intent into guardrails enforced in CI. Runtime enforcement stops destructive commands in the development loop, and prevention gates block secrets and vulnerabilities across coding agents, IDEs, PRs and CI/CD. The Remediation Agent's interactive run shows its plan and asks before applying each fix, and an auto approve flag skips that prompt. That agent is in early access and off by default, so its approval step is not yet part of the generally available product. Sourcedocs.snyk.io remediation-agentread 2026-10-25 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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QodoSecurity, Identity & Governance Qodo's homepage says it is SOC 2 Type II certified through independent audit, with the trust center at trust.qodo.ai holding the details, and that code is analyzed and discarded under zero data retention with nothing used to train models. Access controls include SSO and SAML with both service provider and identity provider initiated sign in, roles and permissions, invite only access, restricting reviews to registered users, API key management and scoped context access, with audit logs on Enterprise. Sourceqodo.ai, docs.qodo.ai/whats-new (Qodo 2.6), docs.qodo.ai/account-management and qodo.ai/pricingread 2026-10-28 |
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SnykSecurity, Identity & Governance Snyk's trust center at trust.snyk.io states ISO 27001 and SOC 2 Type II. Administration works at group and organization level with SSO, role based access and Broker for private networks. Evo AI-SPM keeps a live AI-BOM of models, agents, MCP servers, skills and tools, and a Policy Agent turns governance intent into enforceable guardrails in CI. Sourcetrust.snyk.io, snyk.io/plans and docs.snyk.ioread 2026-10-25 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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QodoObservability & Auditability Each finding lands on the pull request with an explanation, the relevant snippet, quality labels, evidence and reasoning and suggested remediation, with the evidence section linking to the rule or repository relationship behind it. A Findings page collects findings across the organization, the code review analytics dashboard, in beta, shows how teams respond to findings by repository and author with CSV export, and Enterprise adds audit logs and governance analytics; Qodo describes an audit trail of every issue and compliance flag. None of these is a per step or per tool call record of what the review agents did, since the findings are the output and Qodo does not say what the audit log records. Sourcedocs.qodo.ai/whats-new (Qodo 2.3 and 3.0), qodo.ai and qodo.ai/pricing; docs.qodo.ai/core-concepts/qodo-platform-core-capabilitiesread 2026-10-28 |
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SnykObservability & Auditability Each Continuous Offensive Security finding keeps a Steps trace of the actions Snyk's agents took, held in the target's scan history, and remediation campaign agent journals stay available after a run. The live AI-BOM shows the models, agents, MCP servers and tools the customer runs and what each can reach. Sourcedocs.snyk.io continuous offensive security finding details and remediation agentread 2026-10-25 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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QodoDeployment & Data Residency Deployment spans multi tenant SaaS, single tenant SaaS, on premises and fully air gapped environments so code never leaves the customer's infrastructure, with zero data retention where code is analyzed and discarded and no training on customer code; Gerrit and Bitbucket Data Center connect to on premises installs through guided wizards, and PR-Agent can be self hosted with the team's own model keys. Sourceqodo.ai, qodo.ai/pricing and docs.qodo.ai/whats-new (Qodo 2.9 and 3.0)read 2026-10-28 |
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SnykDeployment & Data Residency Scanning runs locally through the CLI and the local only MCP server, which has no hosted remote version, so code need not leave the developer machine. Snyk Broker deploys via Docker or Helm inside the customer network to reach private SCM instances, there is guidance for securing data at rest and using FIPS validated cryptography, and Agent Guard enforces at the customer's own agent runtime. Sourcedocs.snyk.io/developer-tools/integrations and docs.snyk.io/snyk-cli; snyk.io/news/snyk-launches-agent-security-solutionread 2026-08-30 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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QodoPrebuilt Agents, Templates & Packs Ready made capability comes in several named sets. The specialist review agents (logic and bugs, standards, architecture, risk, a judge agent and a finding recommendation agent) run out of the box, with Spec, Design review and Remediation agents in research preview; the Agentic Toolbox packages skills (Codebase Wisdom, Get Rules, Review, Review Resolver, Manage Standards) that install into Claude Code, Codex and Kiro as verified marketplace plugins or connect over MCP; and Review presets (Minimal, Standard, Comprehensive, or one built by the onboarding wizard) are ready made code review configurations a team picks and switches. Sourcedocs.qodo.ai/agentic-toolbox/agentic-toolbox-overview, /core-concepts/qodo-platform-core-capabilities and docs.qodo.ai/whats-newread 2026-10-28 |
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SnykPrebuilt Agents, Templates & Packs The platform rate card prices separately adoptable capabilities that each do their own job, among them Evo AI-SPM (Discovery, Risk Intelligence and Policy agents), Evo ADS coding agent security, Evo COS AI pentesting and agent red teaming, Secrets, Code, Open Source, IaC, Container and API and Web. Each works without the others, and quickstart guides cover Cursor, Windsurf and Qodo. Sourcesnyk.io/plans and the agent security announcementread 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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QodoModel Flexibility & Routing Bring your own key is an Enterprise feature, and Qodo's homepage names the providers it covers: the customer brings its own OpenAI, Anthropic, Azure OpenAI or self hosted models, so the customer chooses who runs inference. Review effort mode, in research preview, lets Qodo match review depth to the risk of each change or a repository hold a fixed mode. Sourceqodo.ai, qodo.ai/pricing and docs.qodo.ai/whats-newread 2026-10-28 |
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SnykModel Flexibility & Routing DeepCode AI and the platform's other AI features run on models Snyk selects: frontier models fine tuned with security context, plus a model of Snyk's own, with no customer choice. The Remediation Agent's agentic CLI lets the customer pick the provider (Anthropic, OpenAI, Bedrock, Vertex, LiteLLM or Ollama) and the model. That agent is in early access, though, and its bring your own model configuration is documented as unstable. Sourcedocs.snyk.io remediation-agentread 2026-10-25 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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QodoAPIs, SDKs & MCP Extensibility Other systems call Qodo through the Agentic Toolbox, generally available since Qodo 2.9, which connects coding agents, CI/CD pipelines, internal tools and custom applications over MCP or APIs, installs from a CLI, and ships as verified plugins on the Claude Code, Codex and Kiro marketplaces. API keys are managed in the account settings, and repository behavior is configurable through a .pr_agent.toml file, REVIEW.md and the portal. PR-Agent remains open source under community governance, separate from the commercial platform. Sourcedocs.qodo.ai/agentic-toolbox/mcp, /agentic-toolbox/cli, docs.qodo.ai/whats-new and /account-management/manage-api-keysread 2026-10-28 |
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SnykAPIs, SDKs & MCP Extensibility A REST API serves customizing, integrating and automating Snyk workflows, and the Snyk CLI comes with tooling including snyk-delta, snyk-filter and snyk-to-html. A Snyk MCP server shipped as part of the CLI exposes scan invocation to MCP enabled AI tools, with quickstart guides for Cursor, Windsurf and Qodo, and a separate API and Web MCP server onboards and configures scan targets conversationally. Sourcedocs.snyk.io/snyk-api and docs.snyk.io/developer-toolsread 2026-08-30 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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QodoTesting, Debugging & Optimization Qodo is an AI code review and governance platform that runs specialist review agents on every pull request, and before it through the Agentic Toolbox's review skill inside a coding agent, and classifies each finding against the repository's history, so reviewing the customer's change is the product itself; blast radius labels, in research preview, rate each change Large, Medium or Small. Qodo publishes its own AI code review benchmark. Its current pages do not mention test generation or Qodo Cover. Sourcedocs.qodo.ai/core-concepts/qodo-platform-core-capabilities, docs.qodo.ai/whats-new and qodo.ai/pricingread 2026-10-28 |
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SnykTesting, Debugging & Optimization Continuous Offensive Security delivers autonomous AI powered pentesting and agent red teaming that attacks applications continuously as they change, returning validated proof of exploitability and continuously confirming that fixes hold, alongside API and web testing. Agent Fix retries agentically until a fix validates. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-securityread 2026-08-30 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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QodoBrowser & Computer Use The platform works on repositories, pull requests and the IDE through git platform APIs and plugins, and the Design review agent compares code against linked Figma designs rather than driving a browser. Qodo offers no browser control or way to operate software that lacks a programmatic interface. Sourceqodo.ai and docs.qodo.ai/whats-newread 2026-10-28 |
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SnykBrowser & Computer Use Continuous Offensive Security and API and Web Testing attack running applications, including web surfaces, but this is security testing against the customer's own targets, not an agent operating third party software that has no programmatic interface. There is no browser or computer use capability as such. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-securityread 2026-08-30 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | Q Qodo |
S Snyk |
|---|---|---|
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Entry price Lowest public entry point |
Pro Team at $0.012 a credit, pooled across the team, in monthly packs of 2,500 credits ($30, about 18 reviews a month), 5,000 or 20,000, with no user limit and no annual commitment. A 14 day free trial comes first, and Enterprise, for 30 or more users, is custom. | Team from $25 a month billed monthly, for up to 10 developers, and a Free plan at $0. Enterprise buys prepaid credits at $1 each on a public rate card. |
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Pricing confidence How public the numbers are |
Public, partial | Public, partial |
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Billing Primary billing axis |
Credits pooled across the team at $0.012 a credit, bought in monthly packs on Pro Team, with no seat price. Enterprise is a custom contract. | Team is a flat monthly subscription for up to 10 developers. Enterprise draws prepaid credits per active contributor, monitored image, provisioned target, active machine or assessment per day, depending on capability. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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Free tier
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Qodo
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· Agent capability
October 30, 2026 is now the retirement date for Qodo's IDE plugin, formerly Qodo Gen, and the plugin points users to the Qodo Agentic Toolbox.
Source -
· Workflow orchestration
Qodo 3.0 added PR Triage in research preview, one queue that pulls open pull requests from GitHub, GitLab, Bitbucket and Azure DevOps and orders them by policies for deadlines, priority, blast radius and inactivity.
Source -
· Workflow orchestration
Qodo launched an Advanced Configurations release that allows engineering teams to control how AI-generated code review findings are grouped, ordered, labeled, and routed into pull requests.
Source
Snyk
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· Human approval / guardrails
Govern Agent Behavior is now generally available in Snyk's Evo, starting with MCP governance.
Source -
· Security / enterprise
Snyk announced the general availability of Evo Continuous Offensive Security (COS).
Source -
· Integrations
Snyk integrated its Studio product directly into Snowflake's Cortex Code environment.
Source
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