AdaL

AdaL is an agentic engineering platform that automates the full software development workflow. It uses specialized worker agents to handle research, coding, browser testing, and verification tasks, while maintaining transparency throughout the process. The system combines a CLI for rapid execution with an Agentic IDE that visually clusters changes for human review and collaboration.

What sets AdaL apart is its focus on the 80% of engineering work that isn't just writing code—problem understanding, architecture planning, tradeoff analysis, and quality maintenance. The platform supports multiple AI models including Claude, GPT, Gemini, and Kimi, allowing teams to delegate work to the most appropriate agent for each task. All agent activities are visible and reviewable, with continuous sessions that span CLI, IDE, and worker agents.

Engineering teams benefit most from AdaL when they need to maintain velocity without sacrificing code quality. It's particularly useful for automating repetitive coding tasks, conducting technical research, reviewing complex changes, and maintaining consistent engineering standards across projects. The tool helps developers focus on strategic decisions while agents handle the execution details.