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.
Stride is an AI-native workspace that replaces the typical stack of seven or more separate tools—planning, documentation, diagrams, QA, and process tracking—with a single connected environment. Instead of bolting on a chatbot that only sees snippets, Stride's AI works inside your real project data: stories, architecture diagrams, test cases, defects, and releases all live on one graph. When anything changes, everything related updates automatically. The platform plugs directly into Claude Code and Codex over MCP, so the AI can execute work instead of just generating text.
Every piece of your project—stories, acceptance criteria, diagrams, processes, tests, defects, and releases—lives on a single graph. Changing a story automatically updates related diagrams, test cases, and process maps. No manual sync, no stale docs.
Stride's AI doesn't just chat. It drafts epics and stories from your project history, proposes design solutions with trade-off analysis, discovers bottlenecks, and predicts regressions based on past defects. It plugs into Claude Code and Codex over MCP, so the AI can actually execute tasks.
Import from Jira with OAuth, connect Claude Code or Codex via the MCP server, or start fresh. No complex onboarding or training required. The AI builds context automatically from your tech stack, team size, and goals.
Before any release, Stride enforces quality gates, surfaces risk scores, and shows delivery health. Tests are proposed based on your past defects, and regressions are predicted—so you ship knowing the bar is met.
"The AI sees your whole product, not a snippet."
Most AI tools only see a ticket or a chat thread. Stride's AI operates on a fully connected graph of every delivery artifact, so it understands how a story relates to an architecture diagram, a test case, and a past defect. That context lets it generate meaningful proposals, catch regressions, and update everything consistently—without you re-explaining the same thing in five different tools.
Your team is spending more time juggling tools than building software. If you're tired of retelling features across Jira, Confluence, Miro, and TestRail, or if you want AI that does real work instead of just summarizing chat logs, Stride is worth a look. Pricing starts at $9 per seat per month, with most teams picking the $29 Pro plan.
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