Specialized AI code review for web performance and a11y.


Conductor catches the issues that matter. Proactive protection, less firefighting.

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The Problem

Every front-end dev has seen it: silent regressions sneak in, performance budgets slip, and tickets spike when Core Web Vitals tank. Without consistent performance and accessibility checks, bad code ships—and it’s users and conversions that pay the price.
$6.9B
Annual revenue lost
due to inaccessible
websites
103%
Increase in bounce rate
due to 1-3 sec
load time
100ms
Of page load delay
leads to
1% conversion drop

Conductor: Built to Improve Code Where It Lives

1. Detect issues


Conductor surfaces issues that affect Core Web Vitals, and identifies violations of WCAG rules in your code reinforcing best practices.

2.Ranks findings


Conductor ranks findings based on user impact and business risk—leveraging our proprietary knowledge base to maintain a high signal-to-noise ratio.

3. Reinforce standards


Conductor lets you set the  severity level and customize accessibility goals—whether it’s WCAG A, AA, or AAA—so reviews align with your team’s standards.

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Inline comments and suggestions
Conductor integrates directly into GitHub PRs to provide contextual insights and fix suggestions — before code is merged.
A Github Pull request anotated

Conductor Features

Review less. Fix what matters. Ship with confidence.

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Frequently Asked Questions

How does Conductor securely access an LLM?

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Conductor integrates effortlessly with your organization's LLM setup, leveraging your existing access provisions.

Whether you're hosting models through AWS Bedrock, Azure AI, directly with providers like Anthropic or OpenAI, or running open-source models like Meta's Llama on your own hardware, Conductor adapts to your needs.

Our secure design ensures Conductor operates within your environment, connecting to your tools—including LLMs—the way you choose, making it one of the best ai tools for software testing.

What languages does Conductor support?

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Conductor is currently focused and specialized for JavaScript, and TypeScript codebases. This specialization allows Conductor to write high quality passing tests for complex aspects of JavaScript and Typescript codebases.

How is Conductor different from other AI CodeGen tools like Github Copilot or Cursor?

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Conductor sets itself apart as one of the best AI tools for software testing by leveraging specialized multi-agent agentic ai workflows that mimic human collaboration to create, review, and refine code. This approach delivers higher-quality tests uniquely tailored to an organization's coding standards. Unlike generic AI code generation tools like GitHub Copilot or Cursor, Conductor features automated self-healing loops, where agents independently run and iterate on tests, continuously adapting to the codebase's nuances without user intervention.

Additionally, Conductor enables teams to define specific testing guidelines and integrates with backlogs to incorporate business logic, ensuring tests align with both code correctness and underlying business requirements. This deeply customized and iterative process goes far beyond the capabilities of generic code generation tools.

You can find more on this topic here.

How does Conductor ensure its tests are genuinely valuable rather than just inflating test coverage?

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Conductor, one of the best AI tools for software testing, ensures its tests are genuinely valuable by tailoring them to the specific context of your codebase and business requirements—be they user stories, epics, PRDs, RFCs, or any combination thereof—while also aligning with your organization’s unique coding standards and practices. Unlike generic code generation tools, Conductor automatically adapts to each team’s development structure, guidelines, and preferences, and can be further refined by technical experts (like Principal Engineers) to support new practices. Through customizable multi-agent workflows, testing guidelines, self-healing loops, and backlog integrations, Conductor delivers context-aware, company-specific testing that goes beyond mere coverage metrics to ensure meaningful quality, security, and value at scale.

How does Conductor gather business context?

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Conductor gathers business context in several ways. It can draw from specific business documents or files containing key information—such as PRDs, product visions, or OKRs—and it also integrates with popular backlog tools like Atlassian Jira and Microsoft Azure DevOps. This allows Conductor to automatically pull in relevant context, ensuring comprehensive test coverage that make sense for your business.