AI-augmented SDLC platform
Your team adopted AI tools. Your velocity metrics haven't moved.
Stochastic Macro is the SDLC platform that embeds AI into your team's existing workflow — so every human decision trains the system, and every cycle ships faster than the last.
A single binary. Your machine. No Stochastic Macro servers ever touch your code.
AI tools made individuals faster. They didn't make teams better.
AI projects fail
80 percent or more: Twice the failure rate of traditional IT projects.
RAND Corporation, 2024
No measurable P&L impact
95 percent: Gen AI pilots that fail to deliver business results.
MIT Media Lab, 2025
Report meaningful impact
Only 6 percent of Organizations that report meaningful business impact from AI.
McKinsey, 2025
AI That Bypasses Your Judgment
Your team adopted AI coding tools expecting velocity. Instead, you got unpredictable output that takes longer to review than to write from scratch. The promise was speed. The reality is rework.
AI That Fragments Your Team
Most AI dev tools are engineer-only. Product can't define what to build in a way the system understands. Design can't enforce standards. So your SDLC has a bottleneck at the top and a free-for-all at the bottom.
AI That Erodes Your Process
You spent years building a development process that works. AI tools that skip steps, ignore constraints, and produce unauditable output aren't accelerating your team — they're undermining it.
In a controlled study, developers using AI tools believed they were 20% faster. They were actually 19% slower. For a 50-engineer team, that gap adds up to an estimated $2–4M/year in rework.
METR, 2025 · Estimate based on 19% productivity gap at $200K fully loaded cost, adjusted for downstream rework. See methodology in our guide.
What this means for your team
If your team adopted AI tools and velocity didn't change, you're in the 94% majority. The gap isn't talent or technology — it's infrastructure. Organizations with structured process see 5.3× higher transformation success rates. (McKinsey, 2018 · n=1,793) Stochastic Macro is that structure — installed in a single binary, producing results from day one.
Built for teams that ship, not just teams that code
Head of Product
You need AI to accelerate delivery without losing control of what gets built. Define work slices in structured contracts that the system actually executes — so the gap between what Product asked for and what shipped finally closes.
Design Lead
You're tired of AI-generated code that ignores your design system. Embed design constraints into the development workflow so AI agents respect your standards — and you can verify compliance before anything ships.
VP of Engineering
You need to multiply output without multiplying headcount — but not at the cost of quality or auditability. Get a structured, reviewable AI workflow that ships production-grade code your engineers actually trust.
One system. Three roles. Zero handoff friction.
Product defines the work. Design sets the standards. Engineering reviews and ships. Stochastic Macro connects all three — and AI handles everything in between. Whether you're a CTO evaluating fit or a founding engineer wearing all three hats, the system adapts to your team's shape.
Product
Define what you want built. Get a working slice back — tested, reviewed, ready to ship. The gap between "what Product asked for" and "what Engineering delivered" finally closes.
Define the work. Get working software back. No translation layer.
Design
See your specs implemented faithfully. Iterate on working software, not mockup-to-code translation gaps. Your design system constraints flow directly into the delivery pipeline.
Set the constraints. Verify the output. Ship with confidence.
Engineering
Review code that has already passed tests and automated quality checks. Your review becomes verification, not discovery. AI handles implementation; you handle judgment.
Review verified code. Apply judgment. Nothing ships without your sign-off.
Ready to see it in action?
Request Early AccessEvery correction makes it smarter.
Most AI tools make the same mistakes on loop. Stochastic Macro treats every review comment, every rejected PR, and every design correction as training signal.
Review Feedback Loops
When your team rejects or corrects AI output, the system captures why — and adjusts its approach for next time.
Process & Output Refinement
Not just better code. Better processes. The system refines how it works, not just what it produces — adapting to your team's standards over time.
Production-Grade, Any Stack
Not a "works with React" railroad. Stochastic Macro produces high-quality software of any type, deployed by any means, on any platform.
What this means for your team
Teams without learning loops correct the same AI mistakes indefinitely. Stochastic Macro captures every correction, every rejected PR, and every design review — so your 100th cycle is categorically better than your first. That's what separates the 6% who succeed.
Predictable. Portable. Private.
Predictable Output
Same input, same quality, every time. Structured workflows mean AI output is consistent and auditable — not a surprise with every run.
No Vendor Lock‑in
Use any AI provider — Claude, GPT, Gemini, or local models. Switch anytime. Your process doesn't change when your provider does.
Auditable by Default
Every decision is traceable. Every deliverable is tested and reviewed. Your compliance team gets an audit trail without extra work.
Single Binary, Your Machine
One binary for Windows, macOS, or Linux. Bring your own AI API keys. No Stochastic Macro servers, no telemetry, no cloud dependency. Your code is shared only with the AI providers you choose.
Your Stack. Your Way.
Not limited to one language, one framework, or one deployment target. Stochastic Macro works with whatever you're building — TypeScript or Rust, Vercel or bare metal, monolith or microservices. If your team ships it, this system supports it.
How to Evaluate Any AI SDLC Platform
Whether you choose Stochastic Macro or not, these are the criteria that separate tools that actually work from tools that just demo well. Based on the research in our guide.
- Cross-functional by design — not just an engineering tool
- Structured workflows — not prompt-and-pray
- Provider-agnostic — no single-vendor lock-in
- Quality gates before human review — not after
- Learning from feedback — not repeating mistakes
- Auditable by default — every decision traceable
- Runs on your infrastructure — your keys, your machine
- Measurable ROI framework — before/after data, not vibes
- Gradual adoption path — not an all-or-nothing bet
- Stack-agnostic — works with what you already use
We welcome the comparison. Evaluate any platform against this list.
Early Access Program — lock in early access rates before general availability.
One product. One price.
Every seat gets the complete SDLC platform. On-prem deployment, your own AI provider keys, 30-day evaluation included. No Stochastic Macro servers ever touch your code.
$59/seat/mo
The complete AI-augmented SDLC platform. Every seat. Every feature. No tiers.
- Full SDLC platform — product, design, and engineering workflows
- Structured AI agent cycles with human review gates
- Any AI provider (bring your own keys)
- Single binary, on-prem deployment
- Built-in metrics dashboard (throughput, quality, review cycle time)
- Cross-functional team workflows (Product + Design + Engineering)
- SSO/SAML integration
- Audit logging and compliance reporting
- Priority support
Enterprise (100+ seats)? Contact us for volume pricing.
We’re onboarding early access teams now. Lock in introductory pricing before general availability.
Why I built this.
I’ve spent twenty-five years building production software — distributed systems, enterprise SaaS, and the SDLC tooling that holds them together. I’ve led teams of five and teams of fifty. I’ve seen what works and what doesn’t. And what I kept seeing with AI dev tools was the same failure pattern I’d seen my entire career: technology without process.
Teams bought AI coding assistants expecting velocity. What they got was unpredictable output, more rework, and a review process that slowed down instead of speeding up. The tools were powerful. The integration was nonexistent. Product couldn’t define work in a way the AI understood. Design couldn’t enforce standards. Engineering spent more time reviewing AI output than writing code themselves.
So I built Stochastic Macro — a structured SDLC platform where Product, Design, and Engineering work through one system, AI handles implementation within human-defined constraints, and every correction trains the system to be better next time.
I’m building it the same way I’d want any team to use it — structured specs, AI-assisted implementation, human review at every gate. The platform is its own proof of concept.
I didn’t build this for everyone. I built it for teams that refuse to choose between quality and speed — and know the right system means they don’t have to.
Free Guide: Preparing for AI SDLC Transformation
20 research studies. A 16-question readiness assessment you can run with your leadership team in 30 minutes. And evaluation criteria for any AI SDLC platform — including ours. Download the guide and find out where your team actually stands.
What's inside
- The 80%/95%/6% problem, sourced from RAND, MIT, and McKinsey
- Why the “adoption-outcome gap” is a process problem, not a tools problem
- A 16-point gap analysis to identify where AI SDLC adoption will have the biggest impact
- 10 research-backed evaluation criteria for any AI SDLC platform
- A pilot structure you can propose to leadership this week
Sample questions from the gap analysis
- Do Product, Design, and Engineering share a common workflow system?
- Can you measure your team's actual output (not just lines of code)?
- Is code review a formal quality gate, not a rubber stamp?
Map your team's gaps — and see how the platform closes them. Download the full 16-question analysis.
Already read the guide? Request early access ↓
Request Early Access
We’re onboarding early access teams now. Tell us about your team and we’ll reach out when your access is ready — no sales call, no demo required.
Best for product teams of 5–25 engineers.
What you bring
- A team with at least one active project
- Your own AI API keys (any provider)
What you get
- Early access to the full product — no feature gates
- Built-in metrics dashboard: throughput, quality, and review cycle time
- Direct line to the founder for onboarding support
What happens after you sign up
We review every request individually. If your team is a good fit for early access, we’ll send setup instructions within a few business days. Early access includes the full product, onboarding support, and a direct line to the founder.