
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
BAND creates robust interaction frameworks designed for enterprise-level applications of distributed AI agents. The platform facilitates immediate, collaborative interactions among both agents and humans, incorporating a runtime control plane that upholds policies, defines authority limits, and ensures transparency across diverse systems.
Additionally, BAND empowers developers, engineering teams, and leaders of enterprise platforms who are managing multi-agent ecosystems spanning internal infrastructures, SaaS solutions, and environments shared with partners. This support enhances operational efficiency and fosters innovation within complex organizational structures.
Learn more
Giselle
Giselle is an innovative software platform that enables the creation of dynamic AI Agents using a user-friendly, node-based interface, which facilitates the integration of multiple LLMs and data sources to collaborate seamlessly, similar to a team working together. These AI Agents not only automate critical tasks such as conducting market research, reviewing pull requests, and managing documentation but also allow human team members to concentrate on more creative aspects of problem-solving. By providing a visual method to connect nodes that represent various AI capabilities or data streams, Giselle simplifies the process of designing and maintaining even the most complex workflows, paralleling how game engines convert intricate processes into easily navigable systems. This platform also introduces a sophisticated multi-agent orchestration that continuously enhances your documentation and accelerates product development while ensuring compatibility with GitHub, thereby optimizing your everyday engineering practices. Ultimately, Giselle empowers teams to leverage AI in a way that transforms their operational efficiency and creativity.
Learn more
Superset
Superset functions as a powerful IDE designed for managing various terminal coding agents, such as Claude Code and Codex, simultaneously. Each individual task operates within its own isolated git-worktree, allowing you to easily switch between agents when they require your focus. Additionally, it features automation scheduling, support for remote hosts, a comparison viewer, and an MCP server. For those interested in exploring its capabilities, the source code can be found on GitHub. This makes it an invaluable tool for developers looking to enhance their productivity and streamline their workflow.
Learn more