The Quality Toolbox for Your Coding Agents
Give coding agents the context to understand complex systems, the independent review to catch risk as they work, and the standards to produce code your organization can trust.
works in
Move quality into your agentic workflow, trust agent output more
trust in code
Quality from the first line generated
Agents write with codebase knowledge and your org’s rules from the start, so quality is built in, not caught later
Trustworthy from the first line
Agent-to-agent review shifts verification left
Independent, adversarial review agents pressure-test each change while code is written, so problems surface before the PR
Verified before it becomes a PR
Oversight, not line-by-line inspection
Only the risks agents can’t settle reach a human, so people steer quality instead of reading every change.
People judge what matters
volume reaching humans
Everything your coding agent
needs to build with confidence
Qodo’s Agentic Toolbox gives every coding agent access to codebase knowledge, high precision review, and the standards that define how your organization builds software
Codebase QA
Answer architectural questions, trace dependencies, and assess change impact using context from repositories, pull request history, specifications, and live Git state.
Which repos break if I change this?
Shift left review
The full review engine runs on committed and uncommitted work, sharpened by the agent’s session context.
Review my changes before I open the PR.
Rule enforcement
The workspace’s rules load into the session before the agent writes, so standards land in the first draft.
What are our rules for this service?
Issue resolution
Structured findings come straight from Qodo’s review database, then get resolved once or in a watch loop.
Fix the open findings on PR #482.
Manage rules where engineering decisions happen.
Control the full rule lifecycle from your agent. Create, refine, scope, and activate rules that Qodo enforces.
Write your own skills on top of Qodo.
Qodo’s agentic toolbox plugs into any agent, framework or app over MCP so your team can build custom quality workflows.
Three steps to your first review
Install the Toolbox
Add the plugin from your agent’s marketplace, or install the CLI for anything that speaks MCP
curl -fsSL https://get.qodo.ai | sh
powershell -ExecutionPolicy Bypass -Command “irm https://get.qodo.ai/install.ps1 | iex”
Sign in to Qodo
One browser login connects the agent to your workspace – rules, findings, and repo acess come with it
No credit card required
Ask in plain language
No commands to memorize. Describe what you want and the agent picks the right skill
- Review my changes before I open the PR
- What are our rules for this service?
- Fix the open findings on PR #482
Questions?
The Agentic Toolbox is how agents use Qodo, a set of ready-made skills that agents can call when planning, writing and reviewing code.
The Agentic Toolbox helps coding agents:
- Understand the codebase and its dependencies
- Follow team rules while writing code
- Review changes and fix issues before opening a pull request
The Agentic Toolbox works alongside existing coding agents like Claude Code, Codex, and Kiro, Agent-enabled IDEs and developer tools, CI/CD pipelines, internal tools, and custom applications connected through MCP or APIs.
Agentic Toolbox builds quality directly into the agent workflow:
- Agents start with the right context. They use your organization’s knowledge and rules from the first line of code.
- Changes are reviewed before the PR. An independent agent checks the work and helps resolve issues.
- People focus on what matters. Human reviewers see the risks and decisions the agents couldn’t settle.
The result: cleaner PRs, shorter cycle times, and less line-by-line review.
Agentic Toolbox adds an independent quality layer in the agentic workflow, making sure that every coding agent applies the same standards and review checks as code output accelerates. This includes checking blast radius, dependencies and team rules.
Qodo’s Agentic Toolbox works across coding agents, developer environments, and custom engineering systems:
- Inside coding agents and IDEs: Teams can access Qodo through plugins, CLI, and MCP in tools such as Claude Code, Codex, and Kiro.
- Through natural-language requests: Focused skills select and run the appropriate Qodo workflow.
- Inside custom workflows: APIs and MCP bring Qodo capabilities into CI/CD pipelines, internal tools, and automations.
- Through a local CLI: The CLI handles installation, login, credentials, commands, and structured output.
Every access point connects to the same managed Qodo core.
Enterprise-wide code governance needs a central source of truth for engineering standards, clear permissions, consistent enforcement, and controls for updating and scoping rules.
Qodo’s Agentic Toolbox allows enterprises to version rules, set permissions, roll out standards, and audit governance across teams and repositories.
An AI coding agent can review committed and uncommitted changes, get back structured findings, and fix issues before a pull request ever opens. Qodo’s Agentic Toolbox handles this with two separate tools: Reviewer checks the local diff directly in the coding session, while PR Resolver looks at issues surfaced during PR review, not the coding session, and fixes those.
AI coding agents need codebase-wide context to understand how a proposed change could affect other repositories, services, and workflows.
Qodo’s Context Engine brings connected repositories, pull request history, specifications, and live Git state into the coding session before an agent plans or changes code. Qodo’s Context Engine maps cross-repository dependencies and identifies where a proposed change could create downstream impact.