Stride is an AI-powered workspace that unifies the entire software delivery lifecycle into a single connected graph. It links epics, stories, acceptance criteria, design diagrams, architecture decision records, process models, tests, defects, and releases so that any change propagates to all related artifacts. This eliminates context loss and duplication across tools like Jira, Confluence, Miro, and TestRail. The platform consists of four integrated modules: Plan (auto-generates epics and stories from project history), Design (proposes architecture solutions with trade-off analysis), Optimize (identifies bottlenecks and automation opportunities), and Verify (produces tests based on past defects, predicts regressions, and enforces quality gates). Together, they provide a continuous feedback loop from planning to release. Stride is designed to work with AI coding agents via an MCP server. A single API call retrieves a full story context, including acceptance criteria, diagrams, ADRs, processes, tests, and release gates. Agents then implement the feature and open a draft pull request directly linked to the work item. This reduces handoffs and ensures AI-generated code adheres to the complete specification. Pricing starts at $9 per seat per month, with most teams selecting the $29 plan. Stride aims to replace the typical delivery stack costing around $75 per seat per month, claiming significant savings while providing role-based access, audit logs, and security features suitable for enterprise teams.
Solves
Software development teams suffer from tool sprawl, using 7+ disconnected tools for planning, documentation, architecture, QA, and process tracking. Critical context is lost as each feature is retold multiple times across these tools, slowing velocity and increasing errors. Stride consolidates all delivery artifacts into a single AI-readable graph, providing a single source of truth that streamlines collaboration and eliminates duplication.