In-depth guides on AI integration, architecture decisions, mobile development, and product design — written by engineers who ship weekly.
A step-by-step guide to setting up a retrieval-augmented generation system that handles real production traffic — including chunking strategies, re-ranking, and observability.
Most teams jump straight to fine-tuning when RAG would have done the job in a fraction of the time. This guide breaks down the trade-offs with real examples.
Benchmark leaderboards lie. This guide walks through how we evaluate AI quality in production — automated evals, human review, and regression testing.
After shipping 10+ Next.js apps on the App Router, here are the layout patterns, data-fetching strategies, and error boundaries that we've standardised on.
The boundary between server and client components is the most common source of confusion in new Next.js projects. This guide makes the decision mechanical.
From database isolation strategies to per-tenant rate limiting — a complete architecture guide for building multi-tenant products that scale without data leaks.
Postgres, DynamoDB, MongoDB, Redis — each has a role. We break down the decision matrix we use when starting new projects based on access patterns and scale.
Both ecosystems have matured. Here's how we pick between them for each client based on team skills, platform requirements, and long-term maintainability.
Building apps that work without connectivity is hard. This guide covers conflict resolution, optimistic updates, and background sync patterns we've battle-tested.
A practical guide to building a design system that developers will actually use — including token naming conventions, component APIs, and documentation.
How we set up blue/green deployments, database migrations, and rollback strategies so our clients never experience downtime during a release.
When a client hands you a legacy system, you need a repeatable process for assessing risk, debt, and scalability. This is the checklist we use.
Most specs are either too vague or too detailed. This guide covers the one-page format we use that's detailed enough to build from but light enough to change.
Cluster autoscaling, Spot instances, and right-sizing containers — a practical guide to reducing K8s costs by 30–50% without trading away uptime.
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