Claude Design Is Actually A Huge Trap

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컴퓨터/소프트웨어창업/스타트업AI/미래기술

Transcript

00:00:00Claude Design dropped and it changed everything about design, but in reality it's way more
00:00:04hype than most people realize.
00:00:05And this is exactly why what you've been seeing on X isn't the full story.
00:00:09If you think Claude Design is doing something groundbreaking or that those insane demos floating
00:00:13around are proof you need to switch to it, you are actually wrong here.
00:00:17The tool itself isn't even the reason those designs look so good, and the way people are
00:00:21using it is quietly working against them in a way most haven't caught onto yet.
00:00:25Claude Design was marketed as a revolutionary product for the design industry the moment
00:00:29it dropped.
00:00:30People started calling it a figma killer or the end of designers, and the impact was big
00:00:34enough that figma's stock kept decreasing and its valuation took a hit.
00:00:38It is a tool for creating realistic prototypes, wireframes, designs, pitch decks and other
00:00:43different types of designs.
00:00:44But the reality is that it's more hype than anything.
00:00:47It is literally Claude Code repackaged as another tool and sold as one, because Claude Code can
00:00:52do the same and possibly more.
00:00:54There are features like editing and comments in Claude Design, but nothing here is something
00:00:58Claude Code cannot do if you give it the right tools.
00:01:01And when we say this is Claude Code repackaged, it is not because we didn't test it.
00:01:05We gave it a simple prompt, asking it to create a community website and answered the questions
00:01:09it had.
00:01:10It created two designs that were impressive on their own and much better than the way Claude
00:01:14used to generate landing pages previously, but they still had a lot of problems.
00:01:18One version was cut off at the pricing section and there was no footer at all, so we tested
00:01:23how Claude Code would perform with a similar prompt.
00:01:25We used Opus 4.7 on high effort to compare the two, and the design it produced stood
00:01:30on par with Claude Design's capabilities.
00:01:32There were a few issues, like the font color of the sign-up button not being chosen correctly,
00:01:37but overall it was a really well-built design.
00:01:39And this was despite not having the design harness and without any special prompting that
00:01:43Claude Design has built in, purely on its own with us providing almost nothing.
00:01:48But the demos you must have seen around look impressive, and there is something hidden behind
00:01:52them.
00:01:53What is circulating on social media is based on hype rather than what the tool actually
00:01:57does on its own.
00:01:58People generate designs by following extensive workflows and then present them as if Claude
00:02:03Design built everything in one shot.
00:02:05But those same workflows can be run in Claude Code directly without needing Claude Design
00:02:09at all.
00:02:10So even though this product is built for designers, they should just use Claude Code instead of
00:02:14Claude Design, because this way they will be able to try out different variations, experiment
00:02:19more and get the same if not better results than Claude Design.
00:02:22They can iterate more times with Claude Code instead of being cut short, right when the
00:02:26design is actually getting somewhere.
00:02:28Building on top of what the site already is instead of starting over every time gives them
00:02:32better control over the direction of each design.
00:02:35And because everything Claude Code produces is real code, what they end up with is not
00:02:39a throwaway prototype but something that can be shipped directly into the product without
00:02:43being rebuilt by someone else afterward.
00:02:45And on top of all this, there is a cost problem with Claude Design.
00:02:48Claude Code can do the same things at a much cheaper cost while Claude Design is built separately
00:02:53and counted toward limits that run weekly and it does not count toward your other limits
00:02:57but it burns through usage at a much faster pace than you would normally expect with models
00:03:02through other Claude apps.
00:03:03This hits designers the hardest because the quota is so low that they cannot really experiment
00:03:08the way they need to and their limit runs out after just a few design iterations.
00:03:12And this is exactly what a lot of people are complaining about.
00:03:15When someone was working with it, they ran out of their design limit fast just after around
00:03:1920 design iterations even when they were on the highest max plan.
00:03:23And plenty of others say they hit the limit in just one hour and still end up with a simple
00:03:27design that is easily implementable with Claude Code in one shot.
00:03:31So it's not really usable in practice since they are hitting the limits before they can
00:03:35even finish the workflow they are working on, making it much worse compared to Claude Code
00:03:39limits.
00:03:40The reason Claude Design's work looks so impressive is actually the Opus 4.7 model drop, not the
00:03:45tool itself.
00:03:46Opus 4.7 is again the state of the art model with amazing capabilities and is performing
00:03:50better across all of the benchmarks.
00:03:52But the upgrade that actually matters here is vision.
00:03:54This model has substantially better vision and can see images at a much greater resolution
00:03:59than it was able to previously.
00:04:00Claude Opus 4.6 was able to analyse images at a resolution of 1.15 megapixels while the
00:04:074.7 is able to analyse 3.75 megapixels.
00:04:10So that implies it is able to understand design from a reference much better.
00:04:14If you give it a reference design, it processes that reference with much better clarity and
00:04:18picks up on things it would have missed before.
00:04:20With this model upgrade, Anthropic filled the only gap where Claude models were lacking and
00:04:25needed extensive work, which was front end design.
00:04:27This model is more tasteful and creative when completing a task and on its own it produces
00:04:31higher quality interfaces and designs.
00:04:34So when Claude Design dropped it was featured with a lot of hype because of its insane designs
00:04:38but in reality it was the model that got better.
00:04:41It was not the tool that got so insanely good that it resulted in the different visuals you
00:04:45see.
00:04:46Claude Design was another clever way of selling something and creating hype around it by Anthropic.
00:04:50Now you can get the same benefits you get in Claude Design in Claude Code 2 or possibly
00:04:55better.
00:04:56You can replicate Claude Design's questioning flow in Claude Code by creating a simple skill.
00:05:00When you create a project in Claude Design, you give a prompt and it asks a lot of questions
00:05:04so it can properly ascertain the design direction.
00:05:07It asks far more than Claude Code's planning mode does but a skill can do exactly the same.
00:05:11The skill contains instructions on how to run a questioning session just like Claude Design
00:05:16using questions to fill in the gaps the prompt creates and asking about what needs to be built.
00:05:21It defines when to trigger follow up questions and how the flow should actually work.
00:05:25It also includes example questions for running the session, a library of questions and even
00:05:30ASCII layouts of sites so it can determine the positioning of elements in the landing
00:05:34page.
00:05:35When you give it a prompt, it uses the skill and asks questions related to the gaps it identifies
00:05:39just like Claude Design.
00:05:41It asks multiple questions across different areas and once it has all the information
00:05:45needed to implement, it starts building.
00:05:47The best part is that it directly outputs code so there is no design to code handoff.
00:05:51And with this approach, you can iterate as much as you want without worrying about running
00:05:55out of limits in just an hour.
00:05:57The UI generation from the same type of prompt along with the similar questioning flow in
00:06:01Claude Code was more or less similar to what Claude Design generated.
00:06:05The main difference is that Claude Design had an edge in certain aspects where it made the
00:06:09website more immersive by adding small animations to make it look more engaging.
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00:07:11Most of the scroll interacting designs you might have seen on X when people were showing
00:07:15off clawed design are just sites using video backgrounds which makes them look far more
00:07:20premium and gives the impression that they are more impressive than they actually are.
00:07:24Most of the demos are often just prompts copied from sites that provide ready to use prompt
00:07:28templates.
00:07:29The prompts include a link to a video that is meant to be used as a background along
00:07:33with detailed guidelines on how to implement it.
00:07:36So any agent is capable of implementing this kind of website, not just clawed design as
00:07:40long as it is given similar prompts.
00:07:42But these are only sample prompts for showcase sites.
00:07:45In reality, production grade applications are built using libraries like Lennis which is
00:07:49used in many production apps as well as GSAP which is one of the most popular libraries
00:07:54for implementing smooth animations that make the website experience far more immersive than
00:07:59before.
00:08:00To test this, we actually downloaded a video and in our prompt just told clawed code to
00:08:04use the video as the hero section along with the color themes we wanted and it implemented
00:08:08the rest of the website on its own.
00:08:10We only had to correct it once where we had to explain what the video was about.
00:08:14And it incorporated the style perfectly into the landing page making it much better than
00:08:18the previous version.
00:08:19The website was implemented really well which is quite powerful given how simple the prompt
00:08:23was and it included different animations and interactions that made this part of the site
00:08:28much more powerful and interactive than before with clawed's capabilities.
00:08:32Now in clawed code you can also supplement it with more tools with ease compared to clawed
00:08:36design because clawed code is more technically capable and can implement things more seamlessly.
00:08:42You can even use an open source skill like scrolly telling which basically enables scrolling
00:08:46storytelling animations in your project.
00:08:48So with this skill clawed can easily implement multi level storytelling from a simple prompt
00:08:53and work to create animations that go much further in depth than what clawed design would
00:08:57be able to do on its own.
00:08:59Also if you are enjoying our content consider pressing the hype button because it helps us
00:09:03create more content like this and reach out to more people.
00:09:07Using clawed code instead of clawed design makes it easier to implement UIs because with
00:09:11clawed code you can integrate built in design systems with ease by incorporating components
00:09:16from shad cn, aseternity or hero ui which already include a lot of prebuilt animations.
00:09:22This reduces the need for the model to figure out how each component should look and behave
00:09:27and instead lets it focus on improving the overall design.
00:09:30So the output is much easier to reach compared to working directly in clawed design by default.
00:09:35You can also use front end design skills or other specialized skills tailored to your project
00:09:39built using a skill creator that analyses the current state of the project.
00:09:43This helps it implement features more effectively without wasting time.
00:09:47Clawed code is also more flexible because you can connect mcp servers to it.
00:09:51For example you can use a shad cn mcp server so the agent can install the right components
00:09:56on its own instead of being explicitly told what to use and where.
00:09:59Similarly you can use various mcp's that help build UIs more effectively rather than relying
00:10:04on a purely generated design.
00:10:06Even with models like opus 4.7 and tools like clawed design, straight up generated designs
00:10:11often reveal that they were produced by a model because they tend to follow similar patterns.
00:10:16But using established libraries helps reduce this issue and makes the output feel more natural
00:10:20and less predictable.
00:10:22The biggest advantage of using clawed code instead of clawed design is that you can connect
00:10:26it to git.
00:10:27Now even though you can connect github to clawed design as well, there's a huge difference
00:10:30in how they both work.
00:10:31Clawed design's git integration is fairly basic.
00:10:34It mainly allows it to fetch files from a connected github repository and use them to
00:10:38understand designs.
00:10:39But its purpose is mostly limited to reading and referencing.
00:10:42It does not really make changes to the repository.
00:10:45Clawed code on the other hand is very different.
00:10:47It can perform full git operations like commits, branching and more.
00:10:51So if something goes wrong in your implementation or if you prefer an older version after making
00:10:55changes, you can easily revert back to a previous version using git.
00:10:59That's something you wouldn't be able to do with clawed design as you use it, which makes
00:11:02clawed code a much stronger approach.
00:11:04For designing different prototypes instead of going to clawed design or using figma, it
00:11:09is more effective if you just make mockups straight in HTML.
00:11:12For trying out different variations, you can also make use of parallel agents and work trees
00:11:16to divide tasks, similar to how clawed design explores designs but in a git managed way,
00:11:21so you can keep the best version and discard the rest easily.
00:11:24You can simply give it a prompt to use sub-agents in separate work trees and ask each agent to
00:11:29implement a different variation of the same design.
00:11:31With that, clawed will spawn agents in separate workspaces.
00:11:35Using parallel agents helps you save both time and effort while exploring multiple directions
00:11:39at once.
00:11:40Now once each agent has finished its work, you get multiple variations that you can review
00:11:44at any time and choose whichever one best suits your needs.
00:11:47From there, you can make changes and continue building the app based on the exact style that
00:11:51you like the most.
00:11:52And despite not being generated by clawed design, each of the generated designs still has an
00:11:57aesthetic look with proper SVGs created entirely through code to depict elements and a much
00:12:02better overall balance.
00:12:04You can then merge your preferred version into main and remove the work trees that contain
00:12:08the designs you didn't like.
00:12:09The skills used here along with other resource are available in AI Labs Pro for this video
00:12:15and for all our previous videos from where you can download and use it for your own projects.
00:12:19If you've found value in what we do and want to support the channel, this is the best way
00:12:23to do it.
00:12:24The link's in the description.
00:12:25That brings us to the end of this video.
00:12:26If you'd like to support the channel and help us keep making videos like this, you can do
00:12:30so by using the super thanks button below.
00:12:33As always, thank you for watching and I'll see you in the next one.

Key Takeaway

Claude Code provides superior control, cost-efficiency, and Git integration compared to Claude Design, which is essentially a restricted wrapper built on the enhanced vision capabilities of the Opus 4.7 model.

Highlights

  • Claude Design limits usage to approximately 20 iterations before exhausting quotas even on max plans.

  • Claude Opus 4.7 increases image analysis resolution to 3.75 megapixels, up from 1.15 megapixels in version 4.6.

  • Claude Code manages Git operations including commits and branching, whereas Claude Design is restricted primarily to reading and referencing repository files.

  • Developers can replicate Claude Design's questioning workflow in Claude Code by implementing custom skills with ASCII layout references and prebuilt component libraries.

  • Using established UI libraries like shadcn, Aceternity, or HeroUI in Claude Code creates more natural, production-ready interfaces than standard model-generated designs.

Timeline

Claude Design vs. Claude Code Capabilities

  • Claude Design is functionally Claude Code repackaged with strict usage limits.
  • Both tools produce equivalent design quality when provided with identical prompts.
  • Claude Design consumes usage quotas at a significantly faster rate than standard Claude applications.

Marketing claims suggesting Claude Design is a revolutionary standalone tool are inaccurate. Comparative testing shows Claude Code with equivalent effort produces designs on par with or better than Claude Design, often without the need for specialized design harnesses. Designers using Claude Design frequently hit hard limits after as few as 20 iterations, preventing the extensive experimentation required for complex development workflows.

Model Upgrades and Vision Performance

  • The perceived improvement in Claude Design output stems from the Opus 4.7 model upgrade rather than the tool itself.
  • Opus 4.7 provides a 3.26x increase in image analysis resolution over the previous version.
  • Front-end design capabilities improved significantly due to the model's enhanced vision and context processing.

Anthropic's release of the Opus 4.7 model addressed prior deficiencies in front-end design by enabling higher resolution image analysis. The model's ability to process references at 3.75 megapixels allows it to understand design intent with greater clarity. Consequently, the high-quality designs attributed to Claude Design are primarily a result of the underlying model's increased creativity and vision.

Implementing Workflows in Claude Code

  • Custom skills in Claude Code can mirror the questioning flow used in Claude Design.
  • Claude Code allows direct integration of production-grade animation libraries like Lennis and GSAP.
  • Using component libraries reduces model hallucination and prevents predictable design patterns.

Users can replicate the guided design questioning of Claude Design by creating a simple skill file in Claude Code containing instruction sets, ASCII layouts, and question libraries. Integrating established front-end libraries such as shadcn ensures that generated code is production-ready rather than just a prototype. This approach bypasses the limitations of standalone design tools and allows for continuous iteration within a real codebase.

Git Integration and Parallel Development

  • Claude Code supports full Git operations, whereas Claude Design is limited to read-only access.
  • Parallel agents can run in separate work trees to test multiple design variations simultaneously.
  • Git-managed workflows allow for easy version reversion and merging of preferred designs.

The ability to perform full Git operations makes Claude Code a more robust tool for professional development. By spawning sub-agents in separate work trees, developers can explore multiple design directions in parallel, selecting the most effective iteration while maintaining clean version control. This workflow transforms the design process from generating throwaway prototypes into building directly within the main product repository.

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