Every product ask, design decision, diagram, process step, test and defect stays linked in one delivery record. Claude Code, Codex and Cursor read and update it through the Model Context Protocol (MCP).
Hand a coding agent one line and it guesses the rest.
Hand it everything your team worked out and it builds the right thing.
Missing context doesn’t stop the work. It sends it round a loop, paid in engineer hours and in tokens.
Same taskAdd a wishlist
Same AIThe agent you already use
Without context
Just a ticket
Bare task
Most of the context missing
AI guesses
Fills the gaps with assumptions
Paid in tokens.Review finds gaps
The wrong things got built
Paid in engineer hours.Re-explain
Someone writes it all out again
Paid in engineer hours.Rebuild
Then round it goes again
Paid in tokens.After Rebuild the work goes back to AI guesses, and the loop repeats.
Without context, the engineer hours and the tokens are paid again on every lap.
With Stride
The whole brief
Linked task
All 8 kinds of context attached
Full context
Handed over in one call
AI builds
To decisions already made
Paid in tokens.Review confirms
Nothing to explain again
Paid in engineer hours.Done
On the first pass
With Stride, each is paid once.
Before: Build, guess, redo, re-review
With Stride: Right the first time, without the rework loop.
42%of the developer week goes on maintenance: bad code, errors, debugging and refactoring.
Developers’ own estimate. Source: Stripe, The Developer Coefficient (2018).
Before: The same task, paid for again and again
With Stride: One fully briefed run, not a string of paid retries.
1 callhands your agent all 8 kinds of context up front, so its tokens go on building, not guessing.
One request to Stride, over MCP.
Every tool your work passes through adds a handoff, and a bill.
Planned in one tool, written up in another, designed in a third, tested in a fourth. Each move means explaining it all again.
Seven tools, seven bills
$143.50–$164.00/ seat / mo
One workspace with four parts. What one person adds, everyone else already sees.
Decide what to build.
The request and the write-up live here.
Decide how it looks and works.
The screens and the drawings live here.
Find what slows you down.
How work flows lives here.
Prove it works.
The tests live here.
One record under all four. Stride AI and your coding agents read all of it.
Stride Pro, one bill
$39/ seat / mo
Or compare AI software delivery platforms, AI project management tools or test management tools.
Deep integrations today, generic webhooks and a REST API for everything else.
Link pull requests to stories and surface merge status through the Stride GitHub App.
Link merge requests to issues and surface pipeline status for connected GitLab projects.
Send selected mentions, story changes, and sprint events to a connected Slack channel.
Import a Jira Cloud project and keep supported work in two-way sync during the 30-day migration window. After that, Stride becomes the system of record.
Plan, Design, Optimize and Verify come with every paid tier.
From $12 per seat/month, billed yearly. Every paid tier includes the whole platform.
AI Features
Included AI credits
AI Story Writer (Plan)
AI Test Generator (Verify)
AI Solution Designer (Design)
AI Process Analysis (Optimize)
Custom AI Model / BYO keys
Collaboration
Team Members
Projects
Role-Based Access Control
Audit Logging
Integrations
Standard Integrations
Custom Integrations
Webhooks
API Access
On-Premise Connectors
Security & Compliance
Data Encryption (AES-256)
SSO / SAML
SCIM Provisioning
SOC 2 Type I
Data Residency (US / EU / UK)
Uptime SLA
Private-cloud / on-prem deployment
Support
Community Support
Email Support
Priority + in-app Support
Dedicated Account Manager
Custom Onboarding
Human or AI agent, browser or API key: every request clears the same six gates before it touches your data.
Create an account, choose a plan, and open the seeded sample project. From there you can start with the sample data, import a Jira Cloud project or CSV backlog, and connect the integrations your team uses; the steps are the same regardless of team size.
No. Connect Jira Cloud with OAuth, import a project, and keep supported epics, stories, subtasks, sprints, and comments synchronized in both directions during the 30-day migration window. After that window Stride becomes the system of record; for other trackers, the CSV importer provides column mapping and a full preview before anything is created.
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.
Yes. Every paid plan includes Plan, Design, Optimize, and Verify, so a team can begin in one module and adopt the others when they are useful. All four work from the same connected delivery graph, with no separate module activation required.
Stride warns workspace owners as usage approaches Starter's enforced limits. For AI usage, work draws from the included monthly allowance and then any purchased credit balance; owners can buy a one-time top-up or enable optional auto-top-up, and AI pauses if neither balance is available.
Every paid plan includes a monthly allowance (200 per seat on Starter, 1,000 per seat on Pro, and 1,500 per seat on Enterprise), and each completed AI generation draws from it according to the work performed. Usage then draws from purchased credits; owners can buy one-time top-ups or enable optional auto-top-up, purchased credits never expire, and AI pauses when neither balance is available.
Yes. Storage is per seat, so it grows as you add teammates. Starter includes 1 GB per seat (up to 5 GB), Pro includes 5 GB per seat (up to 500 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.
We use multiple AI providers (Anthropic Claude, OpenAI) with strict data handling. Your project data is used only for your requests, never for training. On Enterprise, bringing your own inference keys and private-cloud deployment are both arranged through sales; neither is a self-serve setting in the product today, so treat them as contracted options rather than switches you can flip.
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, OpenAI Codex and Cursor (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.
Stride uses familiar delivery objects such as stories, diagrams, processes, tests, and defects, and every new workspace includes a seeded sample project for exploration. Guided workflows explain each step, while adoption time depends on the team's workflow and migration scope.
Create an account, choose a plan, and open the seeded sample project. From there you can start with the sample data, import a Jira Cloud project or CSV backlog, and connect the integrations your team uses; the steps are the same regardless of team size.
No. Connect Jira Cloud with OAuth, import a project, and keep supported epics, stories, subtasks, sprints, and comments synchronized in both directions during the 30-day migration window. After that window Stride becomes the system of record; for other trackers, the CSV importer provides column mapping and a full preview before anything is created.
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.
Yes. Every paid plan includes Plan, Design, Optimize, and Verify, so a team can begin in one module and adopt the others when they are useful. All four work from the same connected delivery graph, with no separate module activation required.
Stride warns workspace owners as usage approaches Starter's enforced limits. For AI usage, work draws from the included monthly allowance and then any purchased credit balance; owners can buy a one-time top-up or enable optional auto-top-up, and AI pauses if neither balance is available.
Every paid plan includes a monthly allowance (200 per seat on Starter, 1,000 per seat on Pro, and 1,500 per seat on Enterprise), and each completed AI generation draws from it according to the work performed. Usage then draws from purchased credits; owners can buy one-time top-ups or enable optional auto-top-up, purchased credits never expire, and AI pauses when neither balance is available.
Yes. Storage is per seat, so it grows as you add teammates. Starter includes 1 GB per seat (up to 5 GB), Pro includes 5 GB per seat (up to 500 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.
We use multiple AI providers (Anthropic Claude, OpenAI) with strict data handling. Your project data is used only for your requests, never for training. On Enterprise, bringing your own inference keys and private-cloud deployment are both arranged through sales; neither is a self-serve setting in the product today, so treat them as contracted options rather than switches you can flip.
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, OpenAI Codex and Cursor (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.
Stride uses familiar delivery objects such as stories, diagrams, processes, tests, and defects, and every new workspace includes a seeded sample project for exploration. Guided workflows explain each step, while adoption time depends on the team's workflow and migration scope.
Start from a sample project or import your Jira or CSV backlog. Then connect Claude Code, Codex or Cursor over MCP.
Get started with Stride
