Application Development
From Prompting to Process: A Better Way to Build with AI
A year ago, most of our teams were still debating whether to use AI coding assistants at all. That debate is mostly settled now. The
A year ago, most of our teams were still debating whether to use AI coding assistants at all. That debate is mostly settled now. The
Challenge One of Europe’s largest retailers faced a growing operational bottleneck: fragmented exception handling that drained engineering resources and slowed incident response. Monitoring tools were
The SnapLogic InteGreat Tour London 2025 is just around the corner – and we are excited to be part of it once again. As businesses
AI coding assistants are changing the way we write software – but only when used the right way. Over the past month, our Java development
In my previous article on Context Engineering, I explored the foundational practices for building enterprise-grade AI applications. But engineering a robust AI solution is just
The enterprise AI landscape has reached a critical inflection point. While organizations rush to deploy AI agents and intelligent systems, many are discovering a harsh
Challenge A U.S.-based bank, processing thousands of financial transactions daily, faced a major operational bottleneck: the manual handling of roughly 2,500 monthly exception transactions, 80%
Challenge A leading doors, windows, frames, and glass manufacturer relied on manual review of complex PDFs, often 30+ pages containing technical specs critical to production
In today’s fast-paced tech landscape, integrating artificial intelligence (AI) into enterprise systems is no longer a luxury—it’s a necessity. Enterprise Resource Planning (ERP) systems are
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