RAG vs Fine-Tuning: Which One Should You Use?
A practical comparison of RAG and fine-tuning, with guidance on when to choose each, and when to combine them in production systems.
1745 posts · page 26 of 37
A practical comparison of RAG and fine-tuning, with guidance on when to choose each, and when to combine them in production systems.
Apply REST design best practices for resources, naming, status codes, pagination, and versioning to build clean, durable APIs.
Design clear, consistent error responses for REST APIs using HTTP status codes, problem details, and error envelopes that clients can actually handle.
Understand Hypermedia as the Engine of Application State, why most REST APIs skip it, and when adding hypermedia links actually pays off.
Compare offset, cursor, and keyset pagination for REST APIs. Pick the right pattern for your data, scale, and client experience.
Protect your API from abuse and accidental overload using token buckets, leaky buckets, and standard rate-limit headers that clients can actually respect.
Compare URL, header, and content-type versioning for REST APIs. Learn when to bump versions and how to retire old ones without breaking clients.
How to design REST endpoints that accept many items at once: request shape, partial success, error reporting, idempotency, and limits that keep your API healthy under load.
A practical guide to idempotency keys: what they are, how to store them, how to handle replays and conflicts, and how to make POST endpoints safe to retry without duplicates.
Choosing between webhooks and polling for event delivery in REST APIs: trade-offs in latency, reliability, security, and operations, with a working example of both.
Understand how Python's asyncio event loop schedules coroutines, what await actually does, and how to avoid the classic mistakes that turn async code into a tangle of bugs.
A practical tour of Python decorators: how they work under the hood, when to use them, and how to write decorators that preserve metadata, accept arguments, and stack cleanly.
How to set up Python logging properly: loggers vs handlers, structured logs, contextual fields, log levels that scale, and how to avoid the classic print-debug trap.
When to use threads, when to use processes, and why the GIL shapes both choices. A practical comparison with code, benchmarks, and patterns for real workloads.
A practical comparison of React Context and Redux: rendering model, performance, devtools, and concrete heuristics for picking the right tool.
How to build resilient React apps with Error Boundaries: what they catch, what they miss, and how to design fallback UI that actually helps users.
Understand the difference between controlled and uncontrolled inputs in React, when to use each, and how to combine them with refs and form libraries.
Understand what the React key prop actually does, how it drives reconciliation, and why a bad key choice causes mysterious state and animation bugs.
When memoization actually helps in React: the difference between React.memo, useMemo, and useCallback, and how to avoid memoizing for no reason.
Build accessible, composable modals and overlays in React using portals, focus traps, and headless primitives — with pitfalls around scroll lock, stacking, and a11y.
Learn how React portals work, when to use them, and how to build accessible modals that escape parent overflow and z-index traps.
Compare render props and hooks as two ways to share reusable logic in React, with examples, mental models, and guidance on which pattern fits modern codebases.
A practical guide to React Server Components: how they differ from client components, the rendering model, streaming, and when to reach for each.
Understand the boundary between Server and Client Components in React, when to use each, and how data, state, and bundles flow between them.
Learn how XState brings finite state machines to React, eliminating impossible UI states with explicit transitions, guards, and a predictable mental model for complex flows.
A practical guide to deciding where state belongs in a React app, with patterns for lifting, colocating, and splitting state for performance and clarity.
How React Suspense works for data fetching: boundaries, the use() hook, streaming, and how to design loading states that do not feel janky.
Coordinate multiple Suspense boundaries with SuspenseList to control reveal order and loading states, reducing layout shift and chaos during streamed data fetching.
Build a maintainable React component library on top of Tailwind CSS using variants, slots, and class merging — without losing the speed that made Tailwind appealing.
Practical guidance for writing maintainable, user-focused tests with React Testing Library, including queries, async patterns, and smart mocking.
Compare Zustand, Redux Toolkit, and React Context for state management. Learn when each shines, their trade-offs, and how to pick the right tool.
A side-by-side comparison of Actix Web and Axum, covering architecture, ergonomics, performance, ecosystem, and how to pick the right one for your project.
How Rust's async/await desugars into a state machine, what a Future actually is, and the runtime model that makes it efficient on real workloads.
A practical introduction to building HTTP services in Rust using the Axum web framework, with routing, extractors, state, and JSON handling.
Learn the builder pattern in Rust, why it fits the language so well, and how to use it for ergonomic, type-safe configuration of complex structs.
Organize multi-crate Rust projects with Cargo workspaces: shared dependencies, internal crates, build performance tips, and publishing workflows.
A practical tour of Rust's std::sync::mpsc channels: senders, receivers, backpressure, and patterns for safe message passing between threads.
Demystify Rust's Deref, DerefMut, and AsRef traits with clear examples showing how smart pointers, coercions, and flexible APIs really work.
How to use Clippy and rustfmt effectively in Rust projects, including configuration, CI integration, and tips to make linting friction-free.
How Rust's From trait powers the question-mark operator and lets you compose error types cleanly across libraries, applications, and async code.
How idiomatic Rust handles errors with Result and the ? operator: propagation, conversion, custom error types, and when to use anyhow or thiserror.
Lifetimes are how Rust tracks how long references live. This deep dive covers annotations, elision rules, generic lifetimes, and the common error patterns.
Master Rust's iterator trait, lazy adapters like map and filter, and consumers like collect and fold for fast, expressive data processing.
Understand how Rust organizes code with modules, files, and the pub keyword, plus the visibility rules that keep crates clean and maintainable.
A practical introduction to Rust's ownership and borrowing rules: moves, references, mutability, and the mental model that makes the borrow checker stop fighting you.
A practical comparison of declarative macro_rules! and procedural macros in Rust, including derive, function-like, and attribute macros with examples.
Use Rust's match expression, if-let, while-let, and pattern syntax to destructure data safely with exhaustive compile-time checking.
A complete guide to Serde, Rust's de facto serialization framework, covering derive macros, attributes, custom types, and common JSON patterns.