Stride @joinstride

Your coding agent didn’t fail. It guessed. Same ticket. Same agent. 20 real runs. Without Stride:❌ 0/10 right on the first try With Stride:✅ 10/10 right on the first try ⚡ 32% fewer tokens 🧩 Fewer tools 👨‍💻 Fewer engineer hours Because shipping software shouldn’t mean throwing more tools, tokens, and engineering time at the problem. Less guessing. Less overhead. More shipping. Comment “Stride” and we’ll send you a discount coupon straight to your inbox. Whatever comes next, take it in Stride. #AI #SoftwareEngineering #DevTools #AIAgents

Breaking up with seven tools is hard. Moving in with one is easy. It even brings your backlog. Get Stride at 50% off with code STRIDEVIP. Limited time only. stride.page

We put your whole tool stack in one meeting room. It went exactly how you'd expect. Get Stride at 50% off with code STRIDEVIP, for a limited time. stride.page

Your AI agent isn't lost. It's guessing. And the meter's running 🚕 Stride hands it the full context. Plans are 50% off with code STRIDEVIP for a limited time. stride.page

@hamarshehmhmd Well said. Try Stride here - stride.page

The most expensive sentence in AI coding: "That's not what I meant." Every time someone types it, the team pays for another lap. The ticket says "Add a wishlist." The AI fills the gaps with guesses. Review finds the wrong things got built. Someone explains it all over again. The AI rebuilds. Round it goes. Engineer hours, every lap. Tokens, every lap. A smarter model won't fix this. It'll just guess faster. A ticket is a title and a checklist. Everything else your team already worked out (the decisions, the designs, the tests, the bugs you've hit before) lives somewhere the agent can't see. So it guesses. Give the same AI the same task with the whole brief, and the loop becomes a line. It builds to the decisions already made. Review confirms. Done. Paid once. That's what we built Stride to do. Every task carries its full context, and the agent you already use (Claude Code, Cursor or Codex) gets all of it in one call. Link in the first comment. How many laps does a feature usually take on your team?

20 tabs to answer one question. Or one tab: Stride. Pro is 50% off with code STRIDEVIP.

The real productivity hack isn't another 5 AM routine. It’s not another productivity app. And it’s definitely not another meeting. It’s knowing: → What needs to happen → Who’s responsible → What’s blocked → What’s next When everyone has visibility, work moves differently. That’s Stride. Less confusion. Less chasing. More momentum. #Stride #Productivity #ProjectManagement #Teamwork #WorkSmarter #Collaboration

Years of automating banks. AI agents, RPA, Appian, Mendix. And the biggest lesson had nothing to do with any single system. The work is never stuck in the tools. It is stuck in the gaps between them. That is the problem Stride exists to close. #FounderNote #Automation #Banking #SoftwareDelivery

A prompt window holds a snippet. Your project holds the whole web: stories, tests, architecture, defects. Guess which one the AI should be reading. Ground it in the project, not the paragraph. Context is the model, not the prompt. #AInative #DevTools #ContextEngineering #ProductDevelopment #SoftwareDelivery

@rom1trs The real unlock isn't replacing six roles. It's getting the six workflows to actually talk to each other. 👀

Some answers need proof. Not trust. 🔍 #AI #SoftwareTesting #QA #ProductDevelopment

@AKirtesh The “one main weapon” approach makes sense. Tool-hopping feels productive, but sticking with one tool long enough to build a real workflow is where the gains actually show up.

@Scobleizer @phanindra_ai The shift from “AI that answers” to “AI that acts” is probably the biggest change happening right now. The real challenge will be knowing when to let it act autonomously. 👀

@mardehaym The workflow question is underrated. A company can have the best AI tools in the world, but if the underlying processes aren't ready, adoption will struggle.

@Cupang1997 This is such good advice. AI is moving too fast to “learn everything.” Pick a problem, build something, break it, and learn along the way.

@mdshefat217 @sibylcap Exactly. Reasoning without memory is like starting a new conversation every time. Context is what makes an agent actually useful.

@murtuza_merc AI can accelerate development, but it can also accelerate the mistakes.

@Taniyatweets_ AI agents. But honestly, I’m becoming more obsessed with what happens around the agent — context, collaboration, testing, and getting from “idea” to shipped product.

A 30-second check before any story goes to the AI, or to a teammate. One behavior per criterion. A named trigger and outcome. A result you can point at. A failure path in writing. Criteria like this become tests. Vague ones become meetings. Stride's Plan module drafts acceptance criteria grounded in your project, and Verify turns them into test cases on the same graph. But the checklist works on a whiteboard too. #AcceptanceCriteria #Agile #QualityEngineering #ProductManagement