Diagram-aware AI
BoardSnap AI reads component tree diagrams, data flow arrows, and state machine diagrams. It produces written descriptions of the structure, not just the text labels — useful for translating visual architecture into written specs.
BoardSnap is an iOS app that turns a whiteboard photo into a structured summary and action plan in ten seconds. For frontend engineers, that means component architecture sessions, state flow diagrams, and pairing discussions produce a written spec instead of relying on everyone's memory.
Sketch the component tree, props interface, and state management approach. Snap. BoardSnap produces a written spec describing each component's role, its data dependencies, and the open design questions.
Draw the state machine or data flow on the board — what events trigger what transitions. Snap. The written description of the flow becomes the implementation spec that prevents off-by-one state bugs.
You and a colleague work through a complex UI problem on the board. Snap at the end. The summary captures the problem framing and the chosen approach — context any team member can read to understand why the code is structured the way it is.
Break down frontend tickets on the board — component by component, feature by feature. Snap. BoardSnap produces a structured task list with subtasks scoped to individual implementation steps.
Map the frontend tech debt — legacy components, CSS inconsistencies, dependency upgrades — on an impact/effort grid. Snap. BoardSnap outputs a prioritized list ready for the debt sprint planning conversation.
BoardSnap AI reads component tree diagrams, data flow arrows, and state machine diagrams. It produces written descriptions of the structure, not just the text labels — useful for translating visual architecture into written specs.
Paste your team's engineering docs, design system, or component library URL. BoardSnap AI learns your component names, your state management patterns, and your frontend vocabulary — summaries reference your actual stack.
Separate projects for different frontends or feature areas. Component architecture boards for the checkout flow stay scoped away from the onboarding component boards.
High-level tasks like 'build the search component' auto-generate into concrete implementation subtasks: define the props interface, implement the state logic, write the tests, connect to the API.
Pairing sessions happen in all kinds of spaces. BoardSnap queues the capture on-device and syncs when signal returns — no lost architecture decisions from a noisy open-plan office.
Yes. BoardSnap AI reads hierarchical diagrams — parent-child component relationships, props flow arrows, and event handling annotations. It produces a structured written description of the component hierarchy and the relationships between components.
Yes — naming convention discussions, spacing system decisions, and breakpoint strategy sessions all produce written rationale documents when you snap the board. The decision + reasoning in one place is what CSS architecture docs usually lack.
BoardSnap produces the first draft of the spec — structured summary, data flows described in prose, action items. You edit from there rather than starting from a blank doc. Most engineers find it saves 60-70% of the spec-writing time.
BoardSnap AI reads code snippets on whiteboards — variable names, function signatures, pseudocode — alongside diagrams. Mixed boards produce richer summaries because the code annotations give the AI concrete vocabulary to work with.
Yes. The person at the board snaps it; the remote engineer gets the structured summary immediately. BoardSnap AI chat lets both engineers ask questions against the board content — useful for async handoffs.
Backend engineers using BoardSnap for API design and system architecture sessions.
EMs using BoardSnap for sprint planning and architecture reviews.
Product designers using BoardSnap to produce implementation specs from sketches.
How to run a sprint planning session on a real whiteboard and ship the task list.
Snap a whiteboard. Ship the action plan. In ten seconds.