DryRunn vs Locofy: design-to-code agents

DryRunn and Locofy: design-to-code agents are both design tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

DryRunn

DryRunn simulates the rehearsal environment for board presentations, investor pitches, sales strategy reviews, and executive Q&A sessions. You practice against AI-generated questions, building the kind of recall and composure that slide decks alone cannot develop. The tool runs entirely in the browser with no installation required. Where it shows its limits: the scraped page offers precious little technical detail about feedback depth, session customization, or what happens when your use case moves beyond solo practice into team coaching or large-scale sales enablement. Teams needing recorded sessions, manager review workflows, or CRM-connected coaching will find themselves working around the edges of what the tool describes.

Locofy: design-to-code agents

The core workflow is plugin-based: a designer tags layers inside Figma or Penpot, configures component boundaries, and Locofy generates code the vendor describes as developer-friendly and ready to drop into a project. For straightforward landing pages, marketing sites, or mobile screens with predictable component hierarchies, teams report cutting the translation step from days to hours. The ceiling appears when designs carry complex interactive states, deeply nested conditionals, or design systems with heavy token logic — the generated code requires meaningful cleanup before it merges. Teams at that complexity level typically treat Locofy output as a scaffold rather than a final artifact, and maintain a review pass before the code reaches the repository.

Attribute	DryRunn	Locofy: design-to-code agents
Pricing	Paid	Paid
Price	—	$40/mo
Free trial	No	7 days
Open source	No	No
Has API	No	No
Self-hosted option	No	Yes
Platforms	Web	Web (Figma, Penpot integration)
Pros	Browser-only access with no installation required, so there is no IT procurement cycle between deciding to practice and actually starting — critical when the pitch meeting lands on short notice. Scenario-specific Q&A simulation for investor, board, and sales contexts, which means the questions you face in practice are framed around the actual pressures of those rooms rather than generic speaking drills. Free entry point with no credit card required, so a founder or PM can validate whether AI-driven rehearsal improves their performance before committing budget — avoiding the sunk-cost trap of annual tool subscriptions. Passive, on-demand format means practice can happen outside working hours without scheduling a human coach, which removes the calendar bottleneck that causes most rehearsal to get skipped entirely.	Converts Figma frames directly inside the existing design environment via plugin, so developers receive a code artifact without waiting for manual redraw or spec interpretation. Supports React, Flutter, and HTML/CSS output targets, which means a single design file can produce both web and mobile scaffolds without re-annotating from scratch. Penpot compatibility gives open-source design teams a code-export path that most design-to-code tools skip entirely, so teams not on Figma are not locked out. Self-hosted deployment is available for enterprise teams, so organizations with data-residency or compliance requirements can run conversion workloads inside their own infrastructure rather than sending design files to a third-party cloud. Component-aware output — when the design file uses consistent auto-layout and named layers — generates code with recognizable component boundaries, reducing the structural refactoring a developer would otherwise do by hand.
Cons	The page does not describe any mechanism for a manager or coach to review session recordings, assign practice tasks, or track completion across a team. A sales director trying to standardize pitch prep across a distributed team hits this wall immediately and routes to a dedicated sales enablement platform instead. No API access and no self-hosted option means the tool cannot be embedded into an existing learning management system, CRM workflow, or onboarding pipeline — teams with those integration requirements must treat this as a standalone side tool or replace it with something that exposes an API. The depth and configurability of AI feedback is not documented on the page — there is no description of scoring rubrics, feedback dimensions, or session history. Teams that need measurable improvement metrics over time are working blind and will likely abandon the tool when they cannot report progress to a stakeholder.	Designs with complex interactive states, multi-step animations, or conditional visibility logic produce code that requires significant rewriting before it is production-mergeable — the plugin has no way to express logic that exists only in a designer's head and not in the layer structure, so developers inherit incomplete scaffolds and spend time on cleanup rather than avoided. No API means there is no automated trigger connecting a design update in Figma to a code regeneration step downstream; teams wanting that loop build a manual re-export step or abandon Locofy in favor of tools with webhook or programmatic access. Frame and export limits gate higher-volume usage behind paid tiers, so a team running multiple simultaneous projects or iterating rapidly across many screens hits the free tier ceiling and must evaluate whether per-project cost justifies the handoff speed gain — at that decision point, teams managing large design systems at scale often move to custom Figma plugin pipelines or dedicated component generation tooling instead.

Bottom line

DryRunn and Locofy: design-to-code agents are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between DryRunn and Locofy: design-to-code agents?

DryRunn is Paid, while Locofy: design-to-code agents is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is DryRunn better than Locofy: design-to-code agents?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.