// lab
Articles from AMT engineers on AI integration, IoT architecture and taking over failed software projects.
// featured
Legacy ERPs and siloed inventory are stalling global retailers. Here is why backend agility now decides who scales, and how composable commerce gets you there.
Hospitals have plenty of data, but it arrives too late to act on. Here is how unified health records and predictive models move care from reactive to proactive.
Lessons from an ongoing COBOL-to-.NET rebuild: where AI helps, why legacy integrations need API wrappers, and why domain knowledge still matters.
For decades AI waited on humans. In 2026 humans wait on AI. Here's the playbook our engineers use to turn those three- and four-minute gaps into the most productive part of the day - without burning out.
Legacy ERPs and siloed inventory are stalling global retailers. Here is why backend agility now decides who scales, and how composable commerce gets you there.
Hospitals have plenty of data, but it arrives too late to act on. Here is how unified health records and predictive models move care from reactive to proactive.
Lessons from an ongoing COBOL-to-.NET rebuild: where AI helps, why legacy integrations need API wrappers, and why domain knowledge still matters.
For decades AI waited on humans. In 2026 humans wait on AI. Here's the playbook our engineers use to turn those three- and four-minute gaps into the most productive part of the day - without burning out.
AI has compressed the coding cycle, but the hardest part of enterprise software has never been the code. It's the context. Here's why we're doubling down on Forward Deployed Engineers as our default delivery model for serious projects.
In the vibe coding era the product is no longer a subscription - it's source code you license, remix and own. Here's what that shift means for buyers, builders and the engineering partners they'll need.
Every enterprise product you've built over the last decade can become AI-powered - without a rewrite. MCP is the middleware layer that makes it happen, and here's how we're building it.
Everyone's excited about building software with AI. But after months in the trenches, here's what separates production-ready vibe coding from expensive experiments.
How to build secure, scalable API layers that connect decades-old enterprise systems to GPT-class models - without rewriting your entire stack.
From factory floors to smart cities - how edge AI is replacing cloud-first IoT architectures and what that means for your infrastructure roadmap.
Lessons from 20+ project takeovers - the patterns we see, the first 72 hours, and how we stabilize IP before it's too late.
How we architect chatbot and messaging solutions that serve millions of users while maintaining security and compliance standards.
Most startups build for today's tech landscape. We show you how to identify where AI will outpace your current architecture - before investors ask.
Real-world performance data from deploying 50,000+ edge devices - latency, bandwidth, reliability, and when to use which protocol.