Introducing: Reactor
Compress a year into a quarter.
Co-pilots help. They don't scale. We've watched the co-pilot ceiling up close: every engineer 20% faster, the team no faster. So we built Reactor - an agentic engineering methodology that orchestrates AI agents to produce consistent, reviewable, self-improving code at enterprise scale.
About Reactor
Why co-pilot AI
plateaus
AI-assisted development still has too much friction. Most agent systems today require human input every 15 to 30 minutes. The developer approves, the agent moves forward, the developer intervenes again. That creates idle time, accumulated errors, and high costs. We're working to eliminate that friction.
How We Help
Engineering methodology, not a tool
Reactor doesn't assist an engineer - it executes, self-heals, and improves. A Zaelot Forward Deployed Engineer runs every engagement. The agent proposes. The human validates. Architectural integrity, security, and business logic stay under human control, every time.
Deterministic Exploration
Every task begins with a structured codebase scan. The agent maps the relevant architecture, dependencies, and patterns before writing a single line. No guessing. No hallucinated imports.
Given/When/Then Specifications
Requirements become executable specifications. Each feature is broken into precise behavioral contracts the agent implements and validates against. Ambiguity dies here.
Self-Improving Institutional Memory
Every session leaves a structured trace - what was explored, what decisions were made, what was produced. Your project 50 runs better than project 1, because the methodology learned on every project in between.
Senior Human Oversight
A Zaelot forward deployed engineer reviews every critical decision point. The agent proposes, the human validates. Architectural integrity, security posture, and business logic stay under human control.
Our Process
From spec to shipped, in days
Spec & Scan
Requirements get translated into Given/When/Then behavioral contracts. In parallel, the agent performs a deterministic scan of your codebase - architecture, patterns, dependencies - so everything downstream is grounded in reality, not hallucination.
Plan & Blueprint
The Zaelot forward deployed engineer reviews the execution plan. Architecture, security, and integration decisions get locked in here - upstream of code, where they matter most.
Build, Test, Self-Heal
The pipeline executes - writing, testing, and validating against the specs. When something fails, Reactor detects, diagnoses, and fixes it - without human intervention.
Audit & Learn
Every run ends with a full audit report: what was touched, every test run, what it cost. The system captures what worked and what didn't - and every future run gets sharper.
Proof
Built with it. Shipped with it.
We built our internal business OS - a complex integration across Salesforce, BambooHR, and Harvest - in four days using Reactor. Our first production client engagement delivered production-grade output in 3–4 days with a minimum viable team. Since then, every Zaelot engineer uses Reactor as a core part of how they work.
Our Stack
Built for serious stacks
Reactor works across the tools serious engineering teams rely on.
The Bottom Line
The durable advantage
Tools come and go. Models get cheaper. Infrastructure becomes commodity. Methodology is the durable advantage. Reactor is how Zaelot turns AI agents from a productivity toy into a production-grade engineering system - one that gets better the longer you use it.
Get in touch
Let's Build Something Great Together
Whether you have a bold idea or a complex problem, we're here to turn it into an exceptional digital product. Tell us about your project and let's get started.