Insights, guides & engineering notes
Practical writing on web and mobile development, cloud, and building software that ships.
WebSockets vs SSE: Choosing a Real-Time Web Transport
Compare WebSockets vs SSE for real-time web apps. Learn which transport fits your message direction, reconnection needs, and scale constraints.
AI Eval Frameworks Compared: Catching LLM Regressions
Compare LLM eval frameworks by CI integration and non-determinism handling so you catch regressions before they reach production users.
Using Coding Agents on Legacy and Undocumented Code
Learn how agentic coding tools can safely modernize legacy and undocumented codebases using characterization tests and codebase archaeology techniques.
Building Guardrails for Production LLM Applications
Learn how to build LLM guardrails for production AI engineering: input validation, output checks, and action fencing that treat the model as an untrusted component.
Agent Memory Persistence: Vector, SQL, or Graph?
Choose the right agent memory systems for your AI agents — vector, SQL, and graph each win in different scenarios. Learn when structured memory beats embeddings.
Fixed Price vs Time and Materials: Which to Choose
Compare fixed price vs time and materials contracts for software development — understand how each model shifts risk and which clauses protect your budget.
React Hook Form: Type-Safe Schema Validation with Zod
Learn how React Hook Form and Zod combine to give you a single schema as the source of truth for type-safe form validation that never lets client and server drift apart.
Mobile Backend as a Service: Picking a BaaS
Compare mobile backend as a service platforms by lock-in surface and self-host exit path — the real costs most teams discover after product-market fit.
Authorization Models Compared: RBAC, ABAC, and ReBAC
Compare RBAC, ABAC, and ReBAC authorization models to pick the right access control strategy. Learn which permission shapes each handles and when to upgrade.
AI Gateway Tools Compared: Routing, Cost, Failover
Compare AI gateway tools on multi-provider failover, semantic caching, and spend governance so your production LLM traffic stays fast and cost-controlled.
Agentic Refactoring: Large-Scale Codebase Migrations
Run large-scale codebase migrations with agentic development workflows: break the work into verifiable chunks, use codemods as safety nets, and ship confidently.
Structured Outputs From LLMs: A Practical Engineering Guide
Learn how structured outputs and schema enforcement make AI engineering reliable — get LLM responses that feed safely into downstream code without parsing failures.