Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap.
Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery.
The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team.
Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required.
The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.
Learn more
Aikido is the all-in-one security platform for development teams to secure their complete stack, from code to cloud. Aikido centralizes all code and cloud security scanners in one place.
Aikido offers a range of powerful scanners including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning.
Aikido integrates AI-powered auto-fixing features, reducing manual work by automatically generating pull requests to resolve vulnerabilities and security issues. It also provides customizable alerts, real-time vulnerability monitoring, and runtime protection, enabling teams to secure their applications and infrastructure seamlessly.
Learn more
Devin Desktop
Devin Desktop is an AI-native software development platform that serves as a central command center for managing coding agents, development workflows, and code execution. The platform combines a professional-grade IDE with agent orchestration capabilities, enabling developers to plan tasks, delegate work, review outputs, and collaborate with AI agents from a single interface. Developers can run local and cloud-based agents simultaneously, allowing multiple coding tasks to progress in parallel while maintaining shared context across projects. The platform includes features such as Spaces for shared worktrees, Fast Context for rapid codebase understanding, Supercomplete for predictive coding assistance, and comprehensive code review capabilities. Devin Desktop supports the Agent Client Protocol (ACP), enabling interoperability with different AI models and agent frameworks. The platform integrates with popular developer tools, including GitHub, Slack, Notion, Linear, Stripe, Datadog, Atlassian, and various language servers. Developers can inspect every change made by agents through built-in debugging, tracing, and review tools to ensure code quality and reliability. The platform is designed to streamline both individual and team-based software development workflows while reducing context switching. Devin Desktop enables engineering teams to increase development velocity by combining human oversight with autonomous AI execution.
Learn more
Amp
Amp is a next-generation coding agent engineered for developers working at the frontier of software development. It brings powerful AI agents directly into the terminal and code editors, allowing engineers to build, refactor, review, and explore large codebases with minimal friction. Unlike simple code assistants, Amp operates agentically, running subagents, managing context, and making coordinated changes across dozens of files. It supports multiple state-of-the-art models and continuously evolves with frequent updates, new agents, and performance improvements. Features like agentic code review, clickable diagrams, fast search subagents, and context-aware analysis make Amp feel like a true engineering partner rather than a chat tool. By reducing manual overhead and increasing leverage, Amp enables teams to focus on higher-level design and problem solving. The result is faster iteration, cleaner architectures, and more ambitious builds.
Learn more
