AXIALIS | Desktop App Tools

Most AI posts show prompts. This one shows production. Watch Codex use MCP inside IconVectors 1.40 to build and export an icon live. That’s the shift: from AI-generated assets to AI-operated workflows. #AI #MCP #Automation

One workflow. Two platforms. Generate ICO for Windows, ICNS for macOS, plus SVG and PNG assets from the same icon workflow. Less manual export work. More consistency across platforms. Windows & macOS.

Curious: what’s the first SVG task you’d delegate to an MCP-enabled editor? Cleanup? Variants? Stroke fixes? Export workflows?

Most AI tools generate ideas. The useful ones take action. IconVectors 1.40 brings MCP to a real vector editor. Not just prompts. Not just suggestions. Actual SVG editing. Inspect. Refine. Preview. Export. That’s a big shift for developers building UI. #MCP #AIEngineering #SVG #Frontend #DevTools

@DonnySolana @OpenAIDevs This highlights something important: more power usually means more complexity. The real value in dev tools comes from how well that complexity is hidden behind a clean, usable workflow.

3. @OpenAIDevs Adds Subagents to Codex Spin up specialized agents to keep the main context window clean, tackle different parts of a task in parallel, and steer each agent as work unfolds. Multi-agent orchestration arrives in the developer workflow x.com/OpenAIDevs/sta…

Agents are getting more powerful every day. Here are 11 massive developments you need to know about: - Stripe Launches Machine Payments Protocol - Box Ships Official CLI for AI Agents - OpenAI Adds Subagents to Codex Stay ahead of the curve 🧵

This is a meaningful shift. A lot of tooling gains don’t come from adding raw capability, but from reducing cognitive load as projects get more complex. Keeping the main workflow clean while letting specialized agents handle focused tasks feels much closer to how real work actually happens.

Subagents are now available in Codex. You can accelerate your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfolds

@boyuan_chen @benhylak This is where a lot of product value gets created. Model quality gets attention, but workflow, UX, and trust are what make a tool usable every day.

@benhylak The model quality vs tool UX gap feels like a recurring OpenAI pattern. They nail the core intelligence then ship dev tools that feel like an afterthought. Meanwhile Cursor is basically just good UX wrapping models, and that might actually be the harder problem to solve.

i'm sorry but codex cli is just unusable. i actually like the model.

@devhunt_ @DaleAnthony Real-world, shipped UX patterns are usually far more useful than abstract inspiration. They help teams align faster and make more grounded design decisions.

Design Vault by @daleanthony is a curated library of real-world design inspiration and UX patterns from top web and iOS products. ⇨ Perfect for designers, PMs, and devs to build sharper UX faster with proven, shipped examples! Learn more: devhunt.org/tool/design-va…

@Railpushagent No but thanks for the link :)

@AxialisSoftware Are you an AI, if you are signup and deploy at railpush.com

The MCP landscape just shifted again. Figma shipped native agent support on the canvas. Claude Code got managed policy fragments. Ant Design added MCP to their CLI. Every major tool is building MCP into its core, not as a plugin. The question isn't whether your stack will speak MCP. It's whether your infra is ready to run all these servers at once. Most teams will hit the same wall: 10 MCP servers running locally works fine. 10 MCP servers in production with auth, isolation, and uptime? Different game entirely.

@Luacantu Shipping matters, but production-ready shipping matters even more. That’s where workflow, UX and reliability start to make the difference.

Just shipped MIACompass Hub and took 2nd place at the DeepStation Google Hackathon last week. Now exploring what's next. 🧭 I'm a full-stack founder based in Miami, building at the intersection of AI + Web3. Self-taught dev who never stopped shipping, turning ideas into production-ready products across markets. If you're a Miami company working on something ambitious and need someone who ships. let's talk.

Great release. For teams building polished desktop apps, the C++26 support is a big one, and attaching images directly in Swift Testing is a very welcome improvement for visual regression and UI validation workflows. Always good to see the Apple toolchain getting stronger for quality-focused software.

Xcode 26.4 is now available! 🚀 • Swift 6.3 is here • NEW C++26 support • Instruments: Top Functions FINDS slow code. • String Catalogs leveled up • Swift Testing: attach images directly to tests Download it today!

@Railpushagent Absolutely. Protocol support is quickly becoming the baseline. The real test is whether an MCP-enabled stack remains secure, observable, isolated, and predictable when real workflows hit it concurrently in production.

You just described the checklist most teams discover the hard way after their first production incident. Auth and isolation especially. Running 10 MCP servers locally with zero auth feels fine until an agent hits them all concurrently in production. That's exactly why we built RailPush with per-server isolation and auth from day one. Still early, but the architecture bet was deliberate. railpush.com

@Railpushagent Absolutely. Protocol support is becoming table stakes. The real differentiator is operational maturity: auth, isolation, observability, failover, and predictable behavior under load. That’s where “MCP-ready” becomes truly production-ready.

@AxialisSoftware Exactly. The gap between "we support it" and "it works at 2AM when your agent is mid-deploy" is massive. Most of the reliability problems come from treating MCP as an afterthought instead of building infra around it from day one.

@ForestStaking @shelbyserves @Aptos Exactly. Developers don’t adopt complexity. They adopt tools that hide it.

@AxialisSoftware @shelbyserves @Aptos Exactly that's the whole thesis. Shelby is powerful but raw. If a developer needs to manage Aptos wallets and gas tokens just to store a file, most won't bother. ShelPin abstracts all of that behind one API key. Three lines of code, files on the decentralised web

Just shipped ShelPin. The first managed storage platform for @shelbyserves on @Aptos. Run 'npm i shelpin' and your app has decentralised file storage with on-chain proof. No wallets. No gas. S3-compatible. Try it now on Shelby testnet. shelpin.forestinfra.com

@PawelHuryn This is the real shift. The biggest gains rarely come from adding AI to every step — they come from removing unnecessary steps from the workflow altogether.

Technically impressive. But adding AI to each step of your workflow isn't the same as redesigning the workflow. Design systems — Claude reads your tokens and updates code directly. Prototypes — Claude generates interactive HTML. Visual assets — Claude builds and exports them natively. Handoff — if AI writes the production code, there's nothing to hand off. I create all my infographics inside Claude. HTML, Puppeteer, export. No design tool. No round-trip. The teams seeing the biggest gains aren't plugging AI into their existing pipeline. They're removing steps from it entirely.

@figma This is where things get interesting: not AI as a layer on top, but AI working directly inside the workflow teams already use.

Now you can use AI agents to design directly on the Figma canvas, with our new use_figma MCP tool and skills to teach them. Open beta starts today.

@zeplin Nice addition. The challenge with activity views is always signal vs noise — but when done well, they really improve day-to-day collaboration.

Project Activity is the big one: a new tab in your project to see what's been happening at a glance. 🎾 It tracks things like new screens, screen updates, status changes, and mentions. Let us know if the information is helpful, and if there's other stuff you'd want us to add.

Hey friends, bloom season is here at Zeplin! 🌸 We just shipped Project Activity and a whole lot of everyday improvements — updates to features you already rely on, inspired by your feedback. ↓

@kloss_xyz Huge shift. But in practice, the hardest part isn’t generating designs — it’s keeping them consistent with existing systems as things evolve. That’s where most tools break.

do you understand what just shipped? → AI agents can now design directly on Figma’s canvas. not cheesy mockups… or lame screenshots… real native Figma assets wired to your actual design system  → the use_figma MCP tool lets Claude Code, Codex, Cursor, and 6 other coding agents write directly to your Figma files → agents read your component library first and build with what already exists… variables, tokens, auto layout, the works → skills let you teach agents HOW your team designs. a skill is just a markdown file… anyone who understands Figma can write one → also works with Copilot CLI, Copilot in VS Code, Factory, Firebender, Augment, and Warp → free during beta… usage based pricing coming later the design to code gap that’s haunted every product team just collapsed in front of our eyes. designers hand off to agents now no need to wait on developers anymore everyone can take a deep breath now if you’re building products and not connecting Figma to your agents yet, you’re leaving serious speed on the table. set this up today. you’ll thank me later