BLACKBOX AI vs Locofy.ai
The comparison people usually want here is design-to-code, and the pricing lands in an odd place. Locofy.ai is $40/mo and design-to-code is everything it does, using proprietary Large Design Models trained on millions of designs. BLACKBOX AI is $10/mo for a broad multi-agent coding assistant, but its Figma-to-code sits behind the $40 Pro Max tier. Same price for that specific job, very different products around it.
BLACKBOX AI or Locofy.ai?
Pick BLACKBOX AI if Pick BLACKBOX AI if you want a general coding assistant and design conversion is occasional. Its Chairman LLM dispatches competing agents in parallel and picks the best result, removing manual model selection, and it covers 50+ languages across 35+ IDEs. $10/mo Pro, though Figma-to-code needs the $40 Pro Max tier.
Pick Locofy.ai if Pick Locofy.ai if converting designs is the actual job. It supports React, React Native, Next.js, Angular, Vue, Flutter, SwiftUI and Jetpack Compose, which is broader framework coverage than most competitors at any price, and its Large Design Model is trained specifically on designs. $40/mo Hobby, 7-day trial.
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
BLACKBOX AI
Locofy.ai
Pros and cons
From each tool's full review, written from the same checked facts.
BLACKBOX AI
- The Chairman LLM architecture automatically dispatches competing agents in parallel and selects the best result, removing the burden of manual model selection from users.
- Supports 50+ programming languages and integrates with 35+ IDEs, giving it unusually broad compatibility across developer environments.
- Named, specialized agents handle distinct tasks — AGENT-01 for refactoring, AGENT-03 for test generation, and AGENT-07 for security scanning — rather than one general-purpose assistant.
- OpenAI-compatible API endpoints make it easy for teams already built around that format to adopt without significant refactoring.
- Runs across web, CLI, and API, offering flexibility for both individual developers and team workflows.
- Automatic PR creation through the CLI reduces manual overhead in the development workflow.
- Built on top of 20+ underlying models including Claude, Codex, and Gemini, giving the system a broad foundation to draw from.
- Trustpilot score of 2.7 is a significant red flag that warrants caution, especially for teams evaluating reliability.
- Figma-to-code conversion is locked behind the $40/month Pro Max tier, creating a real cost barrier for solo developers who would benefit most from it.
- Voice coding is listed on the homepage but lacks meaningful documentation, making it difficult to assess how useful it actually is in practice.
- The named agent system sounds deliberate but could not be independently verified without hands-on use, raising questions about whether it's substance or marketing.
- Rapid growth to 30 million users may reflect aggressive free-tier distribution rather than product quality, making user count an unreliable trust signal.
- Users cannot manually select which underlying model handles their request, which may frustrate developers who prefer explicit control over model choice.
Locofy.ai
- Supports a wide range of frameworks including React, React Native, Next.js, Angular, Vue, Flutter, SwiftUI, and Jetpack Compose — broader than most competitors at its price point.
- Uses a proprietary Large Design Model (LDM) trained specifically on design data rather than general code, which may better understand spacing, component hierarchies, and layout intent.
- Integrates directly as a Figma plugin, making it easy to connect existing design workflows without major tool changes.
- Also supports Penpot, giving designers who don't use Figma a viable alternative entry point.
- Offers a VS Code extension and CLI for importing design systems, supporting developer-side workflow integration.
- Focused scope as a design-to-code converter means it does one job deliberately rather than being a bloated general-purpose tool.
- Component tagging workflow is straightforward, lowering the learning curve for initial use.
- No inline autocomplete, code review, test generation, or debugging tools — it is strictly a design-to-code converter and will disappoint those expecting a full AI coding assistant.
- Limited review data available publicly, making it difficult to verify real-world production reliability beyond vendor documentation and community chatter.
- The Adobe XD plugin is described as legacy, suggesting slower platform support and possible deprecation risk.
- Marketing claims may not fully reflect the complexity and limitations of using Locofy in production environments.
- It is unclear from available evidence whether the LDM's design-focused training actually delivers consistently better output quality in practice.
- Community discussion across Reddit and Product Hunt suggests the short version of performance is 'more complicated than the marketing suggests.'
The warning worth taking seriously
BLACKBOX AI holds a 2.7 on Trustpilot. Our review calls that a significant red flag, and for a team evaluating on reliability it is the first thing to investigate rather than the last. Read the reviews themselves before committing a team to it, because a score that low usually has a specific and repeated cause.
What Locofy explicitly does not do
No inline autocomplete, no code review, no test generation, no debugging. It is strictly a design-to-code converter, and anyone arriving expecting a full AI coding assistant will be disappointed. That focus is also why its framework coverage is unusually wide.
Its review data is also limited publicly, which makes reliability harder to verify independently than you would want at $40/mo.
Reading the pricing honestly
At $10, BLACKBOX looks like the cheaper option and is not, if design conversion is why you are here. Compare Pro Max at $40 against Locofy Hobby at $40 and ask which one you would rather have doing that specific job — a dedicated model trained on designs, or a feature inside a broader tool.
Try before either
Locofy has a 7-day trial with all Hobby features, and BLACKBOX has a free tier. A single real Figma file run through both settles this faster than any comparison, including this one.
Side by side
| Company | ||
| Founded | 2022 | 2021 |
| HQ | San Francisco, USA | Singapore |
| AI model | Multi-model (Claude, Codex, Grok, Gemini, Blackbox native, 24+ models) | Proprietary Large Design Models (LDM) |
| User base | 30M+ | — |
| Platforms | Web, VS Code, CLI, IDE (35+ IDEs), API | Web, Figma Plugin, Penpot Plugin, Adobe XD Plugin, VS Code Extension |
| Languages | 50+ | English only |
| Pricing | ||
| Pricing model | Freemium | Freemium |
| Free plan | Yes | Yes — 7-day trial with all Hobby features and 2,000 LDMtokens |
| Free trial | Yes-unlimited | Yes — 7 days (all Hobby features) |
| Starting price | $10/mo (Pro) | $40/mo (Hobby plan) |
| Enterprise | Custom (contact sales) | Custom |
| All plans | Pro — $10/mo Pro Plus — $20/mo Pro Max — $40/mo Enterprise — Custom | Free — $0 Hobby — $40/mo Pro — $80/mo Enterprise — Custom |
| Positioning | ||
| Best for | Developers and engineering teams wanting encrypted multi-agent AI coding with fast inference | Frontend developers and designers converting Figma/Penpot designs into production-ready UI code |
| Differentiator | End-to-end encrypted multi-agent inference layer with Chairman LLM evaluation that dispatches competing agents (Claude, Codex, Blackbox) in parallel and auto-ships the best result — benchmarked #1 in speed, latency, and price on the same model vs. 7 providers. | Uses proprietary Large Design Models (LDM) trained on millions of designs to convert Figma/Penpot layouts into pixel-perfect, production-grade frontend code without relying solely on general-purpose LLMs, with MCP integration for AI coding agents like Cursor and Claude. |
| Competitors | GitHub Copilot, Cursor, Codeium, Tabnine, Amazon CodeWhisperer | Anima, Builder.io, Fronty, DhiWise, Penpot |
| Features | ||
| Cli Support | ✓ | ✓ |
| Code Completion | ✓ | ✕ |
| Code Generation | ✓ | ✓ |
| Code Review | ✓ | ✕ |
| Codebase Indexing | ✓ | — |
| Debugging | ✓ | ✕ |
| Git Integration | ✓ | ✓ |
| IDE Plugins | ✓ | ✓ |
| Multi Language Support | ✓ | ✓ |
| Refactoring | ✓ | ✓ |
| Security Scanning | ✓ | ✕ |
| Self Hosted Option | ✓ | ✓ |
| Team Features | ✓ | ✓ |
| Test Generation | ✓ | ✕ |
| Integrations | ||
| API Access | ✓ | — |
| Github Integration | ✓ | ✓ |
| Jetbrains Plugin | — | ✕ |
| Key Integrations | Claude Code, Codex (OpenAI), Gemini (Google), Goose (Block), GitHub Copilot, Cursor, Windsurf (Codeium), Amp (Sourcegraph), Cline, Opencode, Droid, Slack, Figma (Figma to Code in Pro Max) | Figma, Penpot, Adobe XD, VS Code, GitHub, Cursor, GitHub Copilot, Windsurf, Claude, Gemini CLI, Material UI, Bootstrap, Ant Design, Chakra UI |
| Vscode Extension | ✓ | ✓ |
BLACKBOX AI vs Locofy.ai: common questions
Which is better for Figma to code?
Locofy.ai is purpose-built for it, with Large Design Models trained on millions of designs and unusually broad framework coverage. BLACKBOX offers it only on the $40 Pro Max tier, the same price as Locofy's entry plan.
Is BLACKBOX AI reliable?
Its Trustpilot score of 2.7 is flagged in our review as a significant red flag. Investigate the specific complaints before committing a team, particularly if reliability is a purchasing criterion.
Can Locofy.ai write code generally?
No. It has no autocomplete, code review, test generation or debugging. It converts designs to production code and nothing else.
