Field notes on the problems we actually solve: concurrency, AI, OCR, and payment reliability.
Big bang rewrites fail. Here's the strangler-fig pattern we use to replace legacy systems without stopping the business, with typical timelines and risk gates.
Every team building with LLMs faces this choice. Here's the framework we use with clients: cost, control, compliance, and the hidden costs of each path.
Why optimistic UI and a naive SELECT-then-UPDATE will eventually double-book you, and the patterns that prevent it.
Self-hosted vs. API-based models, where to put the human in the loop, and how to keep an LLM from becoming a single point of failure.
Turning passports, invoices, and travel forms into structured data, with confidence scoring and a sane review queue.
Request-response is simple until it isn't. The trade-offs between synchronous REST and event-driven architectures, with real latency and operational numbers.
Network failures happen. Here's how we design payment integrations so retries and webhook duplicates can never double-charge a customer.
Most RAG fails at chunking, not retrieval. How we evaluate vector stores, tune chunking strategies, and ground answers in your schema, not generic embeddings.