Articles
In-depth articles on AI, web development, cloud native, and indie hacking.
A concierge pilot isn't pretending the product is done; with explicit disclosure of human involvement, it uses a few real customers to validate inputs, delivery standards, exception handling, repeat purchases, and unit economics, then progressively automates stable steps.
Message queues are the shock absorbers of distributed systems, smoothing traffic spikes, decoupling services, and enabling asynchronous work. This article covers their use cases, core models, reliability guarantees, ordering and duplication, and how to choose among Kafka, RabbitMQ, Redis Streams, RocketMQ, and Pulsar.
A single robots.txt Allow or Disallow can simultaneously affect different kinds of automated access. This article uses a versioned agent registry, policy compilation, and real-log testing to avoid blocking search or exposing sensitive paths.
This is not about grinding coding problems; it is about writing better code. Learn which data structures matter most in production, including hash tables, trees, heaps, and graphs, how to analyze complexity, how to trade time for space, and why real skill means applying the right structure to the right engineering problem.
Saving the model name, Prompt, and final score is not enough to replay an evaluation. This article freezes data and label generations, the request sequence, the decoder, the runtime environment, the Evaluator, and the result set to form a verifiable run evidence root.
Interviews are a technical discipline, and grinding coding problems is not enough. This guide covers algorithms and system design, project experience, behavioral interviews with STAR, questions for the interviewer, common traps, and an end-to-end checklist from resume to offer.
Feature voting and customer volume easily mislead a roadmap. This article builds an auditable AI feature evidence scorecard that puts problem frequency, outcome value, real commitment, reachable users, delivery capability, and risk into one decision record.
Nine out of ten slow queries are caused by missing indexes or indexes that are not being used. This guide covers PG index types, composite indexes and the leftmost-prefix rule, EXPLAIN ANALYZE, common causes of unusable indexes, and when not to add an index.
Example-based tests easily share blind spots with the model implementation. This article extracts invariants from requirements, designs generators, shrinkers, and deterministic seeds, and uses counterexample regression gates to validate the input space of AI-generated code.
Redis is far more than a cache, yet many developers never get beyond SET/GET. This article covers its core data structures, production patterns for caching, distributed locks, rate limiting, and leaderboards, persistence and high-availability choices, and classic pitfalls including cache penetration, breakdown, avalanches, big keys, and expiration.
Line coverage can't prove a test rejects faulty patches. This article wires mutation testing into the AI change gate, using scoped ranges, surviving-mutant review, and baseline diffs to verify whether tests actually constrain new behavior.
Choosing the wrong API style makes late-stage changes impossible. This article clarifies the philosophies and fit of REST (resources/universal/simple), GraphQL (flexible fetching/frontend-driven), and gRPC (high performance/internal microservices), plus scenario-based selection and REST's own pitfalls (versioning/status codes/nesting).