Plan and document your software system in a collaborative, multi-level diagram with structured architecture information built in.
Supported architecture patterns
Most teams aren't short on documentation — they're short on a single place where the architecture actually lives.
Architecture knowledge is scattered across diagrams, docs, Slack threads, and people's heads. New developers struggle to find the full picture, and even experienced team members are never fully sure whether they're looking at the latest source of truth.
Most diagramming tools make it easy to draw boxes, but hard to define real modular boundaries. Interfaces, encapsulation, and dependency rules are usually implied rather than enforced, so the architecture becomes ambiguous over time.
Key decisions, assumptions, and tradeoffs often disappear after meetings or implementation begins. Teams start relying on memory and tribal knowledge, which makes architecture harder to understand, explain, and evolve.
AI can generate code quickly, but without clear architectural scope, boundaries, and constraints, it fills in the gaps with guesses. That leads to inconsistent implementation, architectural drift, and more cleanup later.
Overarc gives your team a single, structured workspace where architecture is defined, maintained, and used — not just documented.
Bring your architecture, system details, and supporting context into one structured model. No more stitching together diagrams, docs, and Slack threads to understand how the system works.
Move beyond drawing boxes. Define real module boundaries, interfaces, encapsulation, and architecture rules. And keep the model aligned with reality by mapping to your code.
Collaborate on architecture in real time. Branch, review, and merge changes like code, and keep a clear commit history of decisions as the system evolves.
Export implementation-ready specs for AI agents and developers, with the scope, constraints, and architectural context they need. Then verify that the code matches the plan.
Model the full system — services, modules, subsystems, and boundaries — in one multi-level, structured, navigable view. Always current, always complete.
Define explicit interfaces, module boundaries, and custom architectural rules that are validated — not just illustrated on a whiteboard.
Generate structured implementation specs directly from your architecture model. Developers get precise context. AI agents get structured constraints.
Automatically verify that the codebase matches the intended architecture. Catch drift before it compounds into a refactoring emergency.
Work on architecture together with live updates, threaded comments, and a full decision history. Design is a team sport, not a solo effort.
Every architectural change is recorded with context. Review the full history of decisions, understand why the system is the way it is, and trace changes back to their origin.
Show the system at different levels of abstraction from one model. Engineers see depth, stakeholders see clarity, auditors see structure.
Justifiable outcomes for engineering teams and leadership. Not just better documentation.
Better architectural clarity improves team alignment and gives developers the context they need to move faster. It also reduces one of the biggest bottlenecks in AI-assisted development: review time. With explicit architectural scope and boundaries, AI-generated code is more modular, more predictable, and easier for developers to validate.
Help new team members understand the system faster with a navigable architecture model that shows how modules, dependencies, and boundaries fit together.
Enforced modularity makes the codebase easier to change over time. Better boundaries mean less architectural drift, fewer unintended dependencies, and less friction with developers and agents working in parallel.
Generate architecture models from your existing code, or model the system directly in Overarc. Define modules, components, interfaces, dependencies, and scoped architecture rules in one structured workspace.
Plan changes together as the system evolves. Create, review, and merge architecture branches, collaborate in real time, and keep a commit history of architectural decisions and system changes.
Turn architecture changes into implementation-ready specs. Export updates to your project management workflow with the scope, constraints, and architectural context developers or AI agents need.
Plan, document, and export the most critical information in your system the right way.