Insights & Updates
Explore insights from our engineering team on software development, AI, cloud architecture, and industry best practices.
Industry Insights
Most AI build-versus-buy decisions are made on cost and regretted on control, or made on control and regretted on maintenance. A framework based on what is actually differentiating for your business.
AI & Machine Learning
Long context windows and better tool use took work away from retrieval-augmented generation. RAG did not become obsolete — its job got narrower. A decision framework for when to retrieve, when to load, and when to call a tool.
AI & Machine Learning
Multi-agent architectures are the default recommendation of 2026 and the wrong answer for most teams. A decision framework for choosing between one agent, a planner-executor split, and a full orchestration graph.
Engineering
Explore the most impactful SaaS architecture patterns in 2026. From AI-native design and event-driven architecture to multi-tenant patterns and serverless-first approaches that modern SaaS companies are adopting.
Engineering
A comprehensive guide to designing and building multi-tenant AI SaaS applications. Covers tenant isolation, shared vs dedicated AI models, data partitioning, usage-based billing, and scaling strategies.
Backend & APIs
Navigate the microservices vs monolith decision. Learn when to choose each architecture, migration strategies, and how to build scalable systems that match your team and business needs.
Engineering
Learn the latest patterns and anti-patterns in microservices design, including service mesh, event-driven architecture, and observability strategies.
Engineering
A comprehensive guide to implementing zero-trust architecture in your applications, from authentication to network segmentation.
Industry Insights
Understanding edge computing architecture and its implications for modern application development and deployment strategies.
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