The Cohesive Systems Language IDE is an integrated environment for authoring, validating, and evolving semantic system models expressed in CSL. It provides first-class support for defining domains, state transitions, workflows, and execution semantics, with immediate feedback on correctness, consistency, and impact. The IDE bridges modeling and execution by connecting directly to the Cohesive Systems Runtime, allowing teams to move seamlessly from specification to running system. Designed for collaborative use, it helps teams align on system meaning early, reason confidently about change, and maintain a clear, executable source of truth as systems grow in complexity.
Who It’s For
The Cohesive Systems Language IDE is designed for architects, senior and staff engineers, platform teams, and tech-oriented product managers responsible for shaping complex systems. It is especially valuable for teams working on distributed systems, long-running workflows, and domains where correctness, consistency, and operational behavior matter as much as feature delivery.
By providing a precise yet approachable modeling environment, the IDE enables technically fluent product managers to author, review, and validate domain models directly, aligning product intent with system behavior early in the lifecycle. Engineering teams benefit from a shared, executable source of truth that reduces ambiguity, improves coordination, and scales cleanly as both the system and the organization grow.
Collaboration Model
The Cohesive Systems Language IDE serves as a shared collaboration surface between product, engineering, and architecture. Tech-oriented product managers use the IDE to define and validate domain concepts, rules, and workflows in a precise, executable form. Architects and senior engineers refine these models by introducing execution semantics, invariants, and system-level constraints. Platform and delivery teams then extend the same models into running systems via the Cohesive Systems Runtime.
Because everyone works against a single, executable source of truth, discussions shift from interpretations and documents to concrete system behavior. This reduces handoff friction, shortens feedback loops, and ensures that product intent, system design, and implementation remain aligned as the system evolves.