Secure your code, cloud, and runtime in one central system.
Aikido’s all-in-one security platform is loved by developers and security teams alike with full security visibility, insight in what matters most, and fast/automatic vulnerability fixes.
Teams get security done with Aikido thanks to:
- False-positive reduction
- AI Autotriage & AI Autofix
- Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating)
- AI Pentests
- Automated Compliance
Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more.
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Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.
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CodeReviewBot
CodeReviewBot is an AI-powered code review tool designed to automate the analysis of pull requests and improve code quality by providing detailed, consistent feedback directly within development workflows. It integrates seamlessly with platforms like GitHub, automatically reviewing submitted code to detect bugs, security vulnerabilities, inefficiencies, and performance issues, while offering actionable suggestions for improvement. Using advanced machine learning models, including large language models, the system evaluates code for best practices, readability, and optimization opportunities, helping developers identify risks and refine their work before merging. CodeReviewBot delivers structured, line-by-line feedback for every pull request, ensuring consistent review standards across teams and reducing the variability of manual reviews. It also supports both public and private repositories and can be customized with specific review rules to align with project requirements.
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