Replace 7 tools with one. 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 · card required · cancel anytime
No complex onboarding. No training required. Your team starts with the same context they'd build over months in a custom internal tool.
Import from Jira, plug Claude Code or Codex into the MCP server, or start fresh. One-click OAuth, zero config.
Tell the AI about your tech stack, team size, and goals. It builds context automatically.
Stories, architecture options, test cases, process maps: all generated from your context.
Quality gates, risk scores, and delivery health ensure every release meets the bar.
Import from Jira, plug Claude Code or Codex into the MCP server, or start fresh. One-click OAuth, zero config.
Tell the AI about your tech stack, team size, and goals. It builds context automatically.
Stories, architecture options, test cases, process maps: all generated from your context.
Quality gates, risk scores, and delivery health ensure every release meets the bar.
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.
Plan drafts epics + stories from your project history and prior sprints
Design proposes solutions with trade-off analysis
Optimize discovers bottlenecks and automation opportunities
Verify proposes tests grounded in your past defects, predicts regressions, enforces quality gates
Drag the sliders to match your team. Every number shows its work, including what Stride costs you.
Adjust to see personalized results
$101,363
After subtracting Stride Pro for your whole team
Where it comes from
53h
across the whole team
~4 weeks
until Stride pays for itself
A 25-person team replacing 7 tools nets an estimated $101,363/year after Stride's cost
Get startedStructured AI for product teams: generate architecture options, write acceptance criteria, find process bottlenecks, predict defects, all on one connected graph.
Plan, backlog, and ship with AI in the loop. Stride drafts stories and acceptance criteria from your real delivery history: your velocity, what shipped, what slipped.
Stride adapts to how you work: ship code, plan sprints, test quality, or design systems. Pick a role below to see how.
Jira · ORB-244
awaiting status update
Slack · DM from your EM
"any update on ORB-244?"
tests.todo
stubs still unwritten
feature/webhook-sigs
stale for 3 days
Context switching
9 tab hops an hour
pick up ORB-244 and get it moving
stride.get_story → "Webhook signatures" · 3 acceptance criteria
stride.update_story_status → To Do → In Progress
stride.create_comment → "Branch pushed, tests drafted"
Done. Status, tests and comment updated.
Webhook signatures
Stories, tests, architecture, processes and defects live on one connected graph the AI sees whole, with the agent tooling and enterprise plumbing a serious team needs underneath.
When a story moves, its tests light up. When architecture drifts, the stories that depend on it surface. No more "whose job is this?" meetings.
Every AI call, from story drafts to test gen to ADRs, is grounded in your workspace graph. Context is the model, not the prompt.
Stride is an MCP server. Claude Code and Codex work your backlog with the same RBAC, audit log and budget caps as any teammate.
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.
AI-native delivery OS
5 vendors, 5 contracts, 5 separate AI add-ons
5 best-of-breed tools instead of one platform
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 |
AI-written acceptance criteria
Stride
Jira
Via add-ons (extra cost)Linear
Basic (Linear Assistant)AI test case generation
Stride
Jira
Linear
AI release notes
Stride
Jira
Via marketplace appsLinear
AI architecture review
AI flags risk in your C4 diagrams + ADR drafts.
Stride
Jira
Linear
AI process mining + automation
Stride
Jira
Linear
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.
Switching from Jira or Linear? Bring your whole backlog with you.
Export to CSV and Stride's import wizard auto-maps the fields you'd otherwise retype: Title, Description, Status, Priority, Assignee. And your data is never locked in: export everything back out whenever you want.
Deep integrations today, generic webhooks and a REST API for everything else. No fake logos. If we list it, it actually works.
Source control
Auto-link PRs to stories. Status updates on merge. One-click GitHub App install, no per-user OAuth.
Communication
Pipe @mentions, story status changes, and sprint events into a channel. One-click bot install, per-category toggles.
Project management
Two-way sync of epics, stories, subtasks, sprints, and comments. OAuth in one click.
AI coding agent
Your backlog in the CLI and IDE. Agents read stories, update statuses, and post progress comments via MCP.
AI coding agent
Same MCP server, native Codex support. One key, two runtimes, identical tool surface.
Build your own
HMAC-signed webhooks on every event + a public REST API. Wire whatever you're using, no waiting on us.
More 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.
For solo builders and small teams.
For growing product + engineering teams.
For organisations with security & compliance needs.
Every plan includes a monthly AI-credit allowance. Credits meter your AI usage: each generation (architecture options, drafted stories, test cases, and more) draws from your balance, and heavier work uses more. A single drafted story is light; turning a whole PRD into a backlog is heavier, so a monthly allowance comfortably covers everyday drafting for a working team. Included credits reset each billing cycle, and if you need more you can top up anytime. Purchased credits never expire.
Human or AI agent, browser or API key: every request clears the same six gates before it touches your data.
Encryption is the floor, not the feature.
What Teams Say
Across the teams profiled below
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 100 GB at 50 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