PlanWright is a Control Plane solution for AI coding agents, developed by the PlanWright Team and launched on July 13, 2026. This tool centrally orchestrates the software labor processes performed by autonomously operating AI agents, such as source code modification, testing, and deployment, much like an air traffic control tower monitors and controls the real-time takeoff and movement of aircraft. Internally, it adopts the Model Context Protocol (MCP) technology as its core architecture, enabling bidirectional interaction with coding agents and securely synchronizing distributed AI task assignments and real-time status tracking. Traditional AI agent operation methods faced significant bottlenecks when agents rapidly modified and executed code in a local environment, as human developers struggled to track and approve the progress and decision-making paths in real-time. In industries with strict regulatory compliance requirements, such as finance and biotechnology, the reliability of AI-generated code and transparent audit trails are essential, but existing tools were limited to simple log recording. To overcome these limitations, PlanWright generates an encrypted audit trail by combining timestamps and digital signatures for all agent decision-making paths and file modification histories, providing a secure AI collaborative development environment that complies with corporate security and audit standards. In real-world research and development environments, users can assign coding tasks in a local analysis pipeline to AI agents and synchronize progress data collection and approval gateways. For example, if an objective is set to optimize analysis code, PlanWright assigns the task to the agent and records the changes in real-time in the control plane. High-risk tasks, such as database schema modifications or writing to critical files, activate approval gates to prevent the agent from performing them autonomously, thereby fundamentally preventing the loss of core assets such as genomic data or clinical information. Upon task completion, the entire process is permanently recorded using ECDSA signatures, which can be used as complete evidence for regulatory compliance.

PlanWright is a task orchestration and Control Plane solution for AI coding agents, developed by the PlanWright Team and released on July 13, 2026. This tool centrally coordinates the software labor processes performed by autonomously operating AI agents, such as source code modification, testing, and deployment, much like an air traffic control tower monitors and controls the real-time takeoff, landing, and movement of aircraft. Internally, it adopts the Model Context Protocol (MCP) technology as its core architecture for coding.

🔬 Automated Construction and Approval of Clinical Bioinformatics Pipelines: When creating RNA-Seq analysis pipeline scripts by integrating Claude Code and PlanWright MCP, any changes to the source code generated by the agent are transmitted to the Control Plane in real-time. After calling the planwrightclaimobjective tool for validation, an encrypted audit trail for regulatory compliance is automatically generated, satisfying the security document regulations for submission to the Ministry of Food and Drug Safety (MFDS).