Stories, diagrams, processes and tests live in one connected graph, so the AI sees your whole product, not a snippet.
From $9/seat/mo · most teams pick $29 · cancel anytime
Stride is one workspace for planning, architecture, process and QA, so a single work item carries its whole delivery context, ready for your coding agents to read and act on.
Each Stride work item carries its acceptance criteria, a design diagram and an architecture decision record, an optimized process, passing tests, and a release gate. A coding agent reads all of it in one MCP call, stride.get_story_context, and opens a draft pull request back to the same story via stride.start_story_work.
Acceptance criteria and tests, drafted by Stride AI
+2 more
One get_story_context call returns
start ORB-128 · Add Apple Pay to checkout
stride.get_story_context { storyId: "ORB-128" }
spec · 6 criteria · 1 design · 12 tests
write src/checkout/apple-pay.tsx
write src/checkout/payment-queue.ts
pnpm test → 12 passed
release gate: 12/12 green
stride.start_story_work { storyId: "ORB-128", repo: "acme/checkout" }
draft PR #214 opened
Your agent stops guessing: it reads the whole story, writes the code, and the gate catches what broke.
A Stride work item, story ORB-128 "Add Apple Pay to checkout", carries 6 acceptance criteria, a design diagram and ADR-7, an optimized process, 12 passing tests and a release gate. A coding agent reads it in one call via stride.get_story_context and opens draft pull request #214 via stride.start_story_work.
Your team juggles Jira for planning, Confluence for docs, Miro for architecture, TestRail for QA, and a dozen spreadsheets for process tracking. Context is lost between tools. AI is bolted on as chatbots that don't understand your codebase. Nothing is connected.
Boards, backlog, sprints and releases, with AI that drafts epics, stories and acceptance criteria from your real delivery history
Diagrams, ADRs and scored solution options: your whole architecture, versioned, reviewable and kept in sync with the work
BPMN modeling, process mining and what-if simulation, from finding the bottleneck to proving the automation ROI
End-to-end quality: AI-generated tests, risk scoring, live traceability and release gates that block on gaps
Stride adapts to how you work: ship code, plan sprints, test quality, or design systems. Pick a role below to see how.
Stories, tests, architecture, processes and defects live on one connected graph that the AI sees whole, with the agent tooling and enterprise plumbing a serious team needs.
One platform vs. five tabs and an admin team. We tell you when Jira or Linear is the better fit, and why most teams still pick Stride.
Add up the tools you'd buy to match Stride's feature set. Stride is the same value at a flat $29/seat.
Numbers assume one seat per tool with the cheapest plan that matches Stride's feature set. Prices verified against vendor pricing pages on 2026-04-29; your real procurement quote will be higher than this.
| Feature | Most completeStrideAI-native delivery OS | IncumbentJiraConfigurable issue tracker | Modern challengerLinearPolished issue tracker |
|---|---|---|---|
AI & automationAI baked into every artifact. Not an add-on, not a separate tab. | |||
| AI-written acceptance criteria | Via add-ons (extra cost) | Basic (Linear Assistant) | |
| AI test case generation | |||
| AI release notes | Via marketplace apps | ||
| AI architecture reviewAI flags risk in your C4 diagrams + ADR drafts. | |||
| AI process mining + automation | |||
Cross-discipline coverageOne platform for PM, architecture, QA, and process. No glue tools. | |||
| Architecture diagrams + ADRs | |||
| Process mining + simulation | |||
| QA test coverage as first-class | Via marketplace apps | ||
| Defect tracking | First-class | Labels on issues | |
| Cross-module traceabilityEvery story links to its tests, ADRs, and processes. | |||
Collaboration & UXModern, opinionated UX that ships ready to use. | |||
| Issue tracking + sprints / cycles | |||
| Real-time collab + @mentions | |||
| Public shareable artifact links | Projects only | ||
| Modern UI out of the box | Works in 5 minutes | Expect a week of config | Best-in-class |
| Native mobile appHonest: Linear's mobile app is more mature than ours. | PWA | Best-in-class | |
Pricing & setupPredictable per-seat pricing, AI included, no surprise tier jumps. | |||
| Time-to-first-value | Works in 5 minutes | Expect a week of config | Minutes |
| AI included in every planA monthly AI-credit allowance is included on every plan; buy more credits anytime, no add-ons or separate AI seats. | Limited | ||
| Per-seat monthly price (Pro)Jira and Linear look cheaper until you add the 5 apps each needs to match Stride. | $29 | $7.91 (Standard) / $14.54 (Premium) | $10 (Basic) / $16 (Business) |
| Total stack cost (typical bundle)Tools you would buy to match Stride's feature set. See bundle breakdown above. | $29 for all four modules | $74.70 (Jira + Confluence + Lucidchart + Xray + TestRail) | $96 (Linear + Notion + Lucidchart + TestRail + ChatGPT) |
| Free tier | No free tier; paid from day 1 ($9/seat) | Free for ≤10 users | Free for ≤10 members |
| Predictable pricing, no tier jumps | |||
Enterprise & ecosystemHonest: Jira still wins on sheer admin depth + marketplace breadth. | |||
| SSO (SAML) | Enterprise | Enterprise | Business+ |
| Audit log + RBAC | |||
| Public API + webhooks | |||
| Custom workflow depthIf you run 200-state workflows, Jira is the right fit. | Pragmatic | 20-year head start | Pragmatic |
| Third-party integration marketplace | Public API + webhooks | Atlassian Marketplace (thousands) | Cycles platform |
Honest comparisons rank above dishonest ones. Here's what we don't pretend to do better.
Large enterprises with dedicated Jira admins and complex customisation needs.
Engineering-only teams that strictly want issue tracking and are paired with a separate architecture + QA tool.
Deep integrations today, generic webhooks and a REST API for everything else. No fake logos. If we list it, it actually works.
AI coding agent
Your backlog in the CLI and IDE. Agents read stories, update statuses, and post progress comments via MCP.
Learn moreAI coding agent
Same MCP server, native Codex support. One key, two runtimes, identical tool surface.
Learn moreMore integrations land on the roadmap by customer request, and every shipped integration comes with full OAuth, audit logging, and conflict-aware sync. Nothing goes on this page until the backend ships.
From $9/seat/month. Most teams pick $29 for all four modules and 800 AI credits per seat. Cancel anytime.
| Feature | Starter | Most PopularPro | Enterprise |
|---|---|---|---|
| AI Features | |||
| Included AI credits | 150 / seat / mo | 800 / seat / mo | Custom |
| AI Story Writer (Plan) | |||
| AI Test Generator (Verify) | |||
| AI Solution Designer (Design) | |||
| AI Process Analysis (Optimize) | |||
| Custom AI Model / BYO keys | Contact sales | ||
| Collaboration | |||
| Team Members | Up to 3 | Up to 100 | Unlimited |
| Projects | 3 | Unlimited | Unlimited |
| Role-Based Access Control | |||
| Audit Logging | |||
| Integrations | |||
| Standard Integrations | |||
| Custom Integrations | |||
| Webhooks | 1 endpoint | 25 endpoints | Unlimited |
| API Access | 1 key | 25 keys | Unlimited |
| On-Premise Connectors | |||
| Security & Compliance | |||
| Data Encryption (AES-256) | |||
| SSO / SAML | Shipping Q3 2026 | ||
| SCIM Provisioning | Roadmap | ||
| SOC 2 Type I | In progress | ||
| Data Residency (US / EU / UK) | |||
| Uptime SLA | Available on request | ||
| On-Premise Deployment | |||
| Support | |||
| Community Support | |||
| Email + in-app Support | |||
| Dedicated Account Manager | |||
| Custom Onboarding | |||
AI Features
Included AI credits
Starter
150 / seat / moPro
800 / seat / moEnterprise
CustomAI Story Writer (Plan)
Starter
Pro
Enterprise
AI Test Generator (Verify)
Starter
Pro
Enterprise
AI Solution Designer (Design)
Starter
Pro
Enterprise
AI Process Analysis (Optimize)
Starter
Pro
Enterprise
Custom AI Model / BYO keys
Starter
Pro
Enterprise
Contact salesCollaboration
Team Members
Starter
Up to 3Pro
Up to 100Enterprise
UnlimitedProjects
Starter
3Pro
UnlimitedEnterprise
UnlimitedRole-Based Access Control
Starter
Pro
Enterprise
Audit Logging
Starter
Pro
Enterprise
Integrations
Standard Integrations
Starter
Pro
Enterprise
Custom Integrations
Starter
Pro
Enterprise
Webhooks
Starter
1 endpointPro
25 endpointsEnterprise
UnlimitedAPI Access
Starter
1 keyPro
25 keysEnterprise
UnlimitedOn-Premise Connectors
Starter
Pro
Enterprise
Security & Compliance
Data Encryption (AES-256)
Starter
Pro
Enterprise
SSO / SAML
Starter
Pro
Enterprise
Shipping Q3 2026SCIM Provisioning
Starter
Pro
Enterprise
RoadmapSOC 2 Type I
Starter
Pro
Enterprise
In progressData Residency (US / EU / UK)
Starter
Pro
Enterprise
Uptime SLA
Starter
Pro
Enterprise
Available on requestOn-Premise Deployment
Starter
Pro
Enterprise
Support
Community Support
Starter
Pro
Enterprise
Email + in-app Support
Starter
Pro
Enterprise
Dedicated Account Manager
Starter
Pro
Enterprise
Custom Onboarding
Starter
Pro
Enterprise
Human or AI agent, browser or API key: every request clears the same six gates before it touches your data.
What Teams Say
The teams above span fintech, SaaS, logistics, banking and infra. Customer names are kept private by default; every attribution here is anonymized by contract.
Sign up and pick a plan (a card is required to start), then create a project and describe your tech stack. That's it: most teams are on a populated board in under two minutes. The AI immediately starts generating architecture options, writing stories, and suggesting test strategies based on your project context.
Jira handles task tracking. ChatGPT is a general chatbot. Stride is purpose-built for software delivery: structured AI that generates architecture solutions, writes test cases from stories, discovers process bottlenecks, and connects everything with full traceability. No copy-pasting between tools.
Nothing breaks. You'll get a heads-up as you approach your plan's included AI-credit allowance (150 credits per seat per month on Starter), and you can top up with more credits anytime. Upgrading to Pro ($29/seat/mo) raises the allowance to 800 credits per seat, plus all four modules and audit log.
Yes. Storage is per seat, so it grows as you add teammates. Starter includes 1 GB per seat (up to 3 GB), Pro includes 2 GB per seat (up to 200 GB at 100 seats), and Enterprise includes up to 1 TB. Only file attachments count toward the cap, and you can see your usage on the billing page.
Live today: GitHub (App install with auto-linked PRs to stories, optional status auto-sync on open/merge), GitLab (OAuth connect with auto-linked merge requests, pipeline status on the story, optional status auto-sync on open/merge), Slack (one-click bot install, channel picker, per-category toggles for @mentions, story status changes, and sprint events), Jira Cloud (OAuth + webhook import), Claude Code and OpenAI Codex (via our MCP server), plus HMAC-signed outbound webhooks and a public REST API on every paid plan. We don't list integrations that don't work yet.
No. You can run Stride alongside Jira and sync via our Jira Cloud OAuth + webhook import. When you're ready to consolidate, the same import brings epics, stories, subtasks, and comments over in one click. For anything else, CSV import covers stories, epics, and test cases. Most teams that fully migrate are done within a week.
Absolutely. Each module works independently. Start with Plan for sprint planning, or Verify for test management. As your needs grow, activate more modules; they share context automatically.
Credits are how Stride meters AI usage: every paid plan includes a monthly allowance (150 per seat on Starter, 800 per seat on Pro, custom on Enterprise), and each AI generation draws from it; heavier requests use more. A single drafted story is light, while turning a full PRD into a backlog is heavier, so an allowance covers a lot of everyday drafting before you ever top up. Credits are spent only on actual AI work, reset each billing cycle, and one-time top-ups never expire.
We use multiple AI providers (Anthropic Claude, OpenAI) with strict data handling. Your project data is used only for your requests, never for training. Enterprise customers can bring their own API keys or use on-premise deployment.
Most teams are productive within the first hour. The AI guides you through workflows: just describe what you need, and modules generate structured outputs. No training required.
Spin up a workspace in under two minutes. Import a backlog from Jira or a CSV, or plug Claude Code straight into your MCP config. Watch the AI start connecting the dots before your first sprint ends.
Get started with Stride