Enhance Your Agentic Harness with Teamscale
Fast and Actionable Feedback for Agents
Teamscale’s incremental static analysis provides deterministic feedback within seconds and without the need to commit your changes. Studies show that providing AI agents with immediate code quality feedback enables them to produce significantly higher-quality, future-proof code.
Test Intelligence Meets Artificial Intelligence
Get Test Gap Analysis directly into the agentic loop, so agents see untested changes they introduced and proactively improve the test harness as they go.
Use smart test suggestions, so agents run exactly those regression tests most likely to catch bugs, ensuring your agentic loop stays fast.
Integration with Any Agent
Teamscale integrates into any harness as an MCP server or via our command-line tools. Our Claude Code Plugin combines this with skills that simplify usage and get you up and running within seconds.
High-Signal Agentic Reviews
Maximize Comment Relevance
To deliver high-signal, low-noise feedback, your review agent can access all the information available in Teamscale, such as issue descriptions, requirements, or change history, so comments remain precise, actionable, and tailored to your specific situation.
Agents Tailored to Your Needs
Deploy multiple AI agents, tailored specifically by your team. Have one agent spot security vulnerabilities, another one prevent architectural decay, and the third to enforce in-house framework standards.
Seamless Integration with Your Code Collaboration Platform
Trigger reviews directly from your favorite code collaboration platform and view feedback as inline comments on your diffs. You developers get actionable insights without leaving the tools they use every day.
Stay in Control of Your AI
Flexible Model Configuration and Routing
Teamscale supports all major LLM providers, including local inference servers. Flexible model routing gives you precise control over which model powers each task, project, user, or review agent.
Benchmarks on Your Code
New LLMs emerge faster than ever, but knowing whether a model excels on your actual codebase, and not just public benchmarks, used to be a guessing game. With Teamscale you can A/B test different models directly within your developers' daily workflows.
Full Transparency and Logging
Teamscale logs every single LLM request, allowing you to inspect what data went where. Detailed usage statistics make it easy to pinpoint cost drivers and keep your AI expenses under control.
Teamscale: Deterministic Guardrails for Your Agents
Teamscale brings together requirements, tickets, code commits, static analysis, and multi-stage test coverage to provide a solid ground truth for your agents.
Your engineers shouldn't waste precious time on useless AI-generated comments. Continuous value monitoring stops noisy feedback in its tracks.
Native plugin integrations allow your AI agents to pull Test Gaps, Test Suggestions, and Quality Insights instantly into their workflows.
Use any commercial LLM provider or secure, local models. Teamscale seamlessly integrates into any model ecosystem.
Seamlessly deliver value where your team already works. Push feedback directly into collaboration platforms like GitHub, GitLab, and Azure DevOps.
Provide immediate and actionable feedback, so your people can uphold or even improve quality with every step they take.
Companies that use Teamscale
Many of our customers use Teamscale to deliver high-quality software every day.
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