Knowledge library
Articles
Engineering decisions, implementation notes, and operational field guides.
61 entries
Practical REST APIs in Financial Services: Why Perfect REST Is Often Impractical
REST is a design philosophy, not a religion. In financial services, APIs have to survive legacy systems, long-running workflows, regulatory controls, distributed transactions, audit requirements, retries, failures, and decades of technology. Perfect REST may look elegant on a whiteboard, but practical enterprise API design is about consistency, security, resilience, clear domain semantics, and knowing when a deliberate compromise is better than architectural purity.
Are We Ready for AI?” Ask: “Are Our People Ready?
AI readiness is not just about models, platforms, data, or governance. It is also about whether people feel safe experimenting, understand how their roles may change, trust the purpose behind AI adoption, and have the skills to use AI responsibly. Real transformation happens when technology readiness and people readiness evolve together.
Why AI Is Harder to Implement in Japan—and Why Technology Is Rarely the Problem
Japan has the engineering talent and infrastructure to lead in enterprise AI. The harder challenge is organizational: shortening the path from experiment to production while managing risk, imperfect data, approvals, and continuous learning.
Has AI Flipped the Build vs Buy Decision?
An engineer with a good agentic setup can now stand up in a fortnight what used to take a quarter. The demo is real. But "we can build it faster" and "we should build it" are different claims, and the gap is where a lot of money is currently being set on fire. This post works through the five-year TCO arithmetic, a nine-gate decision tree, and the new failure mode nobody has priced yet: owning a system nobody had time to understand.
Secure Firebase Admin Authentication in Next.js App Router
Build a secure Firebase authentication boundary for Next.js App Router using verified ID tokens, HTTP-only session cookies, Node.js route handlers, and server-side authorization.
Harness Engineering: Building Reliable Systems Around AI Agents
A practical guide to the context, tools, permissions, state, validation, security, evaluation, and governance that turn AI models into dependable engineering agents.
Azure Zero-Trust Agentic AI Platform for Life Insurance Claims Adjudication
A reference architecture for AI-assisted, human-governed life insurance claims on Azure.
AI Needs More Than Data. It Needs Meaning. Why it Matters in Modern AI and Software Systems
Semantic Contract give AI and software systems a shared, machine-readable model of entities, relationships, rules, and meaning. Learn how they enable semantic reasoning, enterprise knowledge graphs, grounded RAG, and safer multi-agent workflows.
Build a Private AI Server with RTX GPUs, Ollama, LM Studio, and vLLM
A practical guide to building a local AI inference server, from a single RTX 3060 or 3090 to a 96 GB multi-GPU system, with Ollama, LM Studio, Hugging Face models, and an OpenAI-compatible vLLM API.