White Papers & Technical Resources
Deep dives into how we engineer software - methodologies, toolchains, and lessons learned.
Introducing Agent-Centric Development Cycle (ACDC)
Eastgate's own flavor of harness engineering
With AI, engineers write code much faster now. But speed is only one thing - accuracy is a much different story. ACDC is our answer: a five-layer methodology where harness engineering, spec-driven design, test-driven development, and human-in-the-loop review turn AI-written code into something tighter, safer, sharper, and actually ready to ship.
Modernizing Legacy Systems with Structured AI
Why modernization stalls, and how Eastgate's ACDC harness turns structure into savings
Legacy code is code without tests, and the safety net that fixes it was always too expensive to build. That is the cost AI agents actually attack. But pointed at unprotected code without a harness, AI makes experienced engineers 19% slower, not faster. This paper covers the Brownfield Paradox, the four-phase sequence of survey, protect, change, and compound, and exactly where humans keep the final say.
The Complete Checklists Behind Every Large-Scale Migration
A Risk Framework for Moving Mission-Critical Systems
Cloud migration failures rarely come from anything breaking outright. They come from five risk areas that compound under pressure. This white paper distills those risks, compares two approaches to managing them, and provides a self-scoring 52-checkpoint operational readiness checklist - weighted by risk tier, organized by category, ready to run with your team today.
How We Modernized a Critical Infrastructure Platform With Zero Downtime
From Lift-and-Shift to Cloud-Native Performance
Most cloud migrations start with lift-and-shift. The workload runs in the cloud, but the architecture and bottlenecks came along for the ride. This paper covers the four constraints that survive migration, the modernization spectrum, and the cloud-native patterns that deliver measurable results.
From Proof of Concept to Production
Why Most PoCs Fail to Ship - and How to Fix That
Most PoCs prove the idea works - then die in the gap between demo and deployment. This paper covers the five failure modes that kill PoCs, a phased framework for production readiness, and the engineering practices that bridge the gap between 'it works on my machine' and 'it runs in production.'
Scaling AI in Industrial Systems Without Starting Over
A Hypothesis-Driven Framework for Moving AI from Pilot to Plant Floor
87% of AI pilots in industrial settings never reach production. The gap is not the model - it is the missing engineering discipline between 'it works in the lab' and 'it runs on the plant floor at 2 AM.' This paper covers the four risks that kill industrial AI projects, a phased scaling framework grounded in hypothesis-driven experimentation, and the practices that bridge lab accuracy to operational reliability.
Nordic Enterprise Engineering Guide
GDPR-Compliant Offshore Delivery, NIS2 Third-Party Requirements, and IEC 62443 Secure Development
Nordic enterprises face a layered compliance environment when engaging offshore engineering partners: GDPR governs data handling, NIS2 raises the bar on third-party security governance, and IEC 62443 applies to any vendor touching industrial or infrastructure systems. This guide covers what each regulation requires of your engineering partner, what documentation to request, and how Eastgate structures evidence for Nordic procurement review.
APRA-Aligned Engineering Partnership Guide
Third-Party Risk Documentation, CPS 230/234 Compliance Evidence, and Outcome-Based Engagement for ANZ Enterprise
APRA CPS 230 and CPS 234 raise the compliance bar for every third-party technology supplier to Australian regulated entities. This guide covers what due diligence evidence your engineering partner must provide, how outcome-based engagement structures reduce operational risk, and the specific documentation ANZ procurement teams should request - including ISO 27001 certification scope, incident response planning, and data sovereignty statements.
The Agentic GTM Framework
How Autonomous AI Agents Replace Your $1,400/mo Tool Stack
Most B2B SaaS companies pay for 6-10 separate GTM tools and use 20% of each. This paper covers the top-20% principle, the six-layer agentic framework, the agent stack, cost comparison, and deployment. Built by Eastgate for Eastgate - then offered to clients.
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