Your Development Team... but 200% Faster
ShipStream AI empowers your team with intelligent tools and training that enhance every stage of delivery. So you ship better products, faster.
2-3×
Faster Release Cycles
50%
Reduction in Post-Release Bugs
70%
Less Time on Manual Tasks
95%
Higher Team Satisfaction
Software delivery has changed. Teams using AI-powered automation ship 2× faster—while others fall behind.
ShipStream AI gives your team the tools and training to outpace the competition.
PlanAgent
Better products start with better planning
Transform vague ideas into comprehensive project plans in hours, not weeks. The Plan Agent uses AI to capture every requirement, edge case, and design consideration—so you build the right thing the first time.
Automated PRD Writing
Generate comprehensive Product Requirement Documents from a simple project brief.
Figma Make Integration
Turn PRDs into early UI/UX prototypes and wireframes to kickstart the creative process.
Jira MCP Integration
Instantly convert PRD outlines into actionable Jira epics and tickets without manual entry.
Impact
Teams ship 40% fewer features that miss the mark. Requirements are complete from day one, reducing costly pivots and rework mid-sprint.
BuildAgent
Empower your engineers with AI and measure the impact
Give every developer an AI pair programmer that learns your codebase, writes production-ready code, and handles repetitive tasks. Track velocity improvements and code quality metrics in real-time.
Claude-Powered Code Generation
Describe a feature and the Build Agent generates clean, structured code in your style.
Automated PR Reviews & Security Scans
Instantly get AI reviews on every PR, checking for bugs, style, and security vulnerabilities.
Custom Training & Prompts
Fine-tune the AI on your repository so its outputs are tailored to your specific architecture.
Impact
Engineering teams see 2.5× velocity increase and 60% reduction in code review cycles. Developers spend 70% more time on high-value work.
QAAgent
Reduce bugs in build & production with fewer resources
Deploy with confidence using AI that catches bugs before users do. Automatically generates comprehensive test suites, reports issues to Jira, and even submits PRs to fix P3/P4 bugs without human intervention.
Automated Test Generation
As features are built, the QA Agent generates unit and end-to-end tests automatically.
Automated Bug Reporting & PRs
Automatically creates Jira tickets for bugs found, and generates PRs to fix P3 and P4 issues without human intervention.
Continuous Regression & User Flow Testing
Runs full regression suites on each push and simulates critical user journeys to catch issues early.
Impact
Ship 50% fewer bugs to production while reducing QA headcount needs by 75%. P3/P4 bugs are fixed automatically within hours, not days.
DeliverAgent
Ship with confidence and clarity
Turn every release into a celebration. The Deliver Agent crafts compelling release notes, updates documentation, and creates marketing materials that showcase your team's achievements to stakeholders and users.
Automated Release Notes
Compiles release notes from commits and drafts announcements for your team or users.
Documentation Generation
Uses AI to update docs and knowledge bases based on the latest changes in the code.
One-Click Deploys
With GitHub integration, the agent can tag releases, merge PRs, and trigger CI/CD pipelines.
Impact
90% reduction in release communication overhead. Stakeholders stay informed, users understand new features, and your team gets the recognition they deserve.
Why Engineering Teams Are Switching to AI-Powered Delivery
Engineering teams are overwhelmed with manual coordination, planning, and testing. AI is no longer just for code generation—it's transforming the entire delivery pipeline.
"McKinsey analysis shows AI can speed up documentation by 50%, code generation by 35-45%, and refactoring by 20-30%"
— five.co research
Teams that adopt AI-powered delivery today will ship faster, learn faster, and win market share, while others fall behind.
The teams using AI-powered delivery today will be the ones dominating their markets tomorrow.
5 Ways AI Pair Programmers Impact Developer Productivity
McKinsey analysis shows AI can speed up documentation (50%), code generation (35-45%), and refactoring (20-30%)
How ScatterSpoke Developers Improved Flow State Time
Case study showing boosted flow state efficiency and reduced manual errors using AI coding assistants
AI and Developer Productivity
Developers spend most time reading code. AI tools help with code comprehension more than writing
The Role of AI in Enhancing Developer Productivity
AI impacts entire SDLC: prototyping, debugging, refactoring, testing, and infrastructure optimization
Measuring the Productivity Impact of AI Coding Tools
Structured framework to quantify ROI from tools like GitHub Copilot: set goals, measure before/after
AI Coding Tools Slowed Experienced Developers by 19%
METR study: experienced devs were 19% slower with AI tools—even though they reported feeling faster
Loved by High-Velocity Teams
"We ship weekly now instead of monthly. The AI catches obvious bugs before code review, which saves everyone time."
"Our junior devs are ramping up faster. They use the Build Agent to learn our patterns while staying productive."
"Finally, our release notes make sense. The Deliver Agent turns our messy commits into updates stakeholders actually read."
Don't Get Left Behind
Join our gated waitlist to secure your spot. Early adopters receive exclusive onboarding and support to revolutionize their delivery process.