Launching today
Stride
The AI workspace that plans, designs and ships with you.
161 followers
The AI workspace that plans, designs and ships with you.
161 followers
Stride is the AI-native workspace for the whole build: plan, design, verify, and ship. Its AI works inside your real project data and plugs into Claude Code and Codex over MCP, so it does the work instead of just talking about it. Your team goes from idea to launch without switching tools.
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Stride
Hey Product Hunt 👋
I'm Kunal, the founder of Stride.
https://www.stride.page/
Here's the moment that made me build it. I was "planning a feature" and counted the tabs open to do one job: a board for the tickets, a whiteboard for the diagram, a doc for the spec, a tracker for status, and three AI chats I kept re-explaining my project to from scratch. None of them talked to each other. I was the integration layer. And I was exhausted.
So we built Stride: one AI-native workspace for the whole journey from idea to shipped.
📋 Plan — a flexible board with custom stages, WIP limits, and issue tracking that bends to how your team actually works (not the other way around)
🎨 Design — architecture diagrams, solution design, and PRDs, drafted and refined with AI right next to the work
⚙️ Optimize — map, model, and mine your processes to see how work really flows and where it gets stuck
✅ Verify — close the loop on quality: define acceptance criteria, build test plans, validate that what ships actually matches what you planned, and catch gaps before they reach users
🤖 Agent — an AI teammate that lives inside your real project. It creates, updates, and moves work for you, and plugs into Claude Code and Codex over MCP
⚡ Ship — go from idea to PRD to shipped without ever leaving the app
The thing I'm proudest of: the AI isn't a bolt-on chatbot staring at a blank box. It sits inside your actual project data, so it already knows your tickets, your stages, and your context. It does the work instead of just talking about it. Less "write me a prompt," more "handle this."
We're a small team and every comment today genuinely shapes what we build next, so I'm parked in the thread all day. One question I'd love your honest answer to: what's the one tool-switch in your workflow that makes you sigh every single time? Plan to design? Spec to tickets? Reply and I'll tell you exactly how (or honestly, whether) Stride kills it for you.
Thank you for being here. It means a lot. 🙏
The "plans, designs, and ships" framing covers a lot of ground, and the interesting question is where the handoffs happen. Most tools like this are solid at one of those three and then quietly hand you back the wheel for the others. Curious whether Stride is actually driving the design-to-code transition itself, or whether "designs with you" means something closer to a Figma-adjacent whiteboard that you then feed into the build step. Also wondering how the Vercel tie-in works in practice: is deployment genuinely wired into the workspace so shipping is one action, or is it more of a pre-configured export target?
Stride
@fberrez1 - Really sharp question, and you're right that the handoffs are where most tools quietly give you back the wheel.
Two clarifications on today. First, "design" in Stride means system and architecture design, not Figma-style UI. Think scored solution options, ADRs grounded in your past decisions, and versioned C4, sequence and deployment diagrams, all tied to the same graph your stories and tests live in.
On the design-to-code transition: Stride doesn't try to be the IDE. It drives the handoff by producing the artifacts that feed the build, and its architecture review can draft a real GitHub PR. The code itself gets written by your coding agents, Claude Code or Codex, plugged in through our MCP server, so they work from the full product context instead of a snippet. And on Vercel, that's the Product Hunt launch event, not a deploy integration. "Ships" today is the delivery layer: releases, release notes from real commits, and quality gates that block a release with gaps.
But you're pointing right at where this naturally goes. UI design and one-click deploy are both extensions of the same core idea, that everything lives in one connected graph the AI can see end to end. As the coding agents close the design-to-code loop, owning more of that transition, and eventually the deploy step itself, is exactly the direction we're building toward. Today we're deliberately deep on plan, design, verify & optimize first, then we earn the rest.
Happy to go deeper on any of these.
Stride
Stride
@diggiwalabhishek - Honestly this is my favorite kind of feedback. The flashy AI stuff gets the attention, but the quiet win, not having to reassemble context in your head every morning, is the part we care about most. And you said it perfectly: you don't feel the weight of it until you go back.
Really glad the switch landed. Thank you for sharing this. 🙏
An AI workspace that goes from planning all the way to shipping is a neat all-in-one approach. Does Stride integrate with tools like GitHub or Figma?
Stride
@doganakbulut Thanks! Yes to GitHub, connect your repo and Stride can even draft a real PR. We also import from Jira and plug into Claude Code or Codex via MCP. Figma's an honest not yet, since our design layer is architecture (C4, ADRs, deployment diagrams) rather than UI, but UI design is on the path ahead. What's your stack? Happy to share what connects today.
Great platform! The ability to generate test cases directly from requirements and maintain traceability throughout the development process has been particularly valuable for our team. 👏
Stride
@manav_bhattacharya Thank you! Traceability is one of those things that sounds boring on a slide and then quietly saves you the day something breaks and you can actually follow it from story to test to defect. Genuinely glad it's earning its keep
The interesting part is keeping planning, design, and shipping in one loop. Most tools nail one of those then lose the thread.
Stride
@sarveshsea - Exactly this. "Lose the thread" is the perfect way to put it, that's precisely where it leaks, in the handoffs between tools. Keeping planning, design and shipping in one loop so the context carries through instead of getting re-explained at every step is the whole bet. 🙏
Stride
I’ve been using Stride heavily for AI-assisted full-stack development, especially with Codex and Claude Code through MCP, and this is where it really clicks.
The biggest value for me is the flow from product thinking to execution: PRD → epics → stories → acceptance criteria → test cases → implementation.
I can then hand that work off to an AI coding agent that has the full project context through MCP. That means the agent is not starting from a vague prompt. It knows the ticket, expected behavior, acceptance criteria, related test cases, and the current workflow state.
In practice, this makes the dev loop much tighter. Claude Code or Codex can pick up a ticket, work through the implementation, use the acceptance criteria as the target, run the relevant test cases, and move the ticket from To Do → In Progress → Ready for Review.
What I also like is that the workflow does not stop when implementation is done. Once a ticket moves into review, Codex can continue updating the work through MCP: adding comments, attaching relevant context or outputs, recording what changed, and keeping the ticket useful for the next person reviewing it.
For anyone building with AI coding agents, this solves a very real problem: the gap between “we planned the work” and “the agent actually has enough structured context to build the right thing.” Stride gives that context a home, and MCP makes it usable directly inside the development workflow.
If you’re doing AI-assisted development with Claude Code, Codex, or similar tools, I’d definitely recommend trying Stride.
🎁 Early-bird discount for the Product Hunt community: use code AAYUSH10
Stride
@aayushsharma That gap between "we planned the work" and "the agent has enough context to build the right thing" is the whole thesis, and giving that context a home through MCP is exactly what we were after. The bit about it not stopping at implementation is the underrated part too. Thanks for sharing the code with the community.