The hottest Design tools Substack posts right now

InVision is shutting down, marking the end of a significant era in design tools. Many people feel nostalgic about what InVision contributed to the design community.
Despite its financial struggles, InVision played an important role in shaping design culture and education. It connected designers and provided valuable resources.
The story of InVision shows that a company can have a lasting impact on its industry even if it doesn't succeed as a product. Building community is often more valuable than just providing tools.

Your computer should feel like a personal world built from people, places, and things, where structure emerges as you use it rather than being forced by pre-set apps or folders.
Current software habits create silos and rigid schemas that ossify your life’s data, so designers must stop assuming they know what users need and enable iterative, user-driven structure instead.
Large language models make fuzzy, dialogical interaction possible and can help shape meaning, but we also need new technical substrates that support flexible subdivision, derivation, and coherent sharing/privacy.

Canva Magic Studio is a new tool that combines design and AI features, making it easier and quicker for writers to create content. It's like having a helpful genie for all your design needs.
This update includes five exciting features that can help writers grow their online business. They're designed to save time and enhance creativity.
Overall, Canva Magic Studio is a game-changer for writers looking to build their brand and improve their designs with innovative tools.

Design and code tools are merging into one environment so designers, engineers, and PMs can work together in the same workspace and the traditional handoff disappears.
A unified tool creates a single source of truth for the design system so components live in one place instead of being duplicated across mockups and code, reducing drift and bugs.
Teams that embrace this convergence will move faster and ship higher-fidelity products because roles blur, context-switching drops, and designers and engineers can iterate together in real time.

Image rendering is no longer the bottleneck; creators can cheaply produce many bespoke variations, so the scarce resource is attention and editorial selection — the best images earn attention by adding clarity, not noise.
Image models have moved from drawing single objects to composing multi-concept scenes and full layouts, and different models trade visual lushness for prompt adherence; creators need to pick or switch models based on the task and content rules.
AI-generated infographics and comics can look authoritative but still hallucinate facts or structure, so people must verify and correct outputs even as hallucinations steadily decline.

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Design tools like Canva have democratized design, making it accessible to everyone, but the quality of design produced may not always meet professional standards.
AI-powered design tools aim to streamline design processes, but they require a fundamental understanding of design to be used effectively.
While tools like Canva have made design accessible to non-designers, the quality of work ultimately depends on the skills and capabilities of the individuals using the tools.

AI automated much of the hand-crafted UX production, shifting value toward senior designers who guide strategy and causing many entry-level production roles to vanish.
AI works best as a co-pilot: it boosts productivity and automates routine work but still needs human judgment and core usability principles to keep interfaces usable and trustworthy.
Practical AI services scaled fast because they deliver clear economic value — for example, ambient scribes cut doctors' paperwork and burnout — so continuous learning and business-focused design skills are now essential.

AI makes it easy for anyone to create products and experiences, so standing out will depend on clear intent, a strong mission, and high product quality.
The design of AI output is its own challenge — you must decide if AI is the product or a feature and intentionally design for differentiation, trust, and taste.
Putting humans at the centre matters more than ever, because genuine stories, authenticity, and human delight will command a premium in AI-driven experiences.

You can easily add custom designs to the silk screen of your PCB in KiCad. It’s a simple process to import images, opening up creative possibilities for your designs.
Remember that KiCad only supports black and white for silk screen designs, so any colors or shades will need to be converted. This can affect how your graphics look when you import them.
To get the best results, it's helpful to turn off anti-aliasing in your graphics software. This way, what you see is what you get in KiCad, making it easier to control the final look.