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Does shipping digital experiences quickly mean compromising on quality? Not necessarily. AI and visual development create new ways to build, iterate upon, and optimize applications and websites. This live session will cut through the hype [4] and provide a realistic view of how traditional CMS architecture misses the mark and how emerging technologies address long-standing challenges:
This developer rebuilt a 10-year-old iOS app using Expo, adding Android and TV support along the way. They successfully replicated the original app's functionality using Expo and React Native packages, avoiding the need for custom native code. The new UI design used responsive layouts for different devices, and the app was built and submitted using EAS Build and Submit.
React projects often suffer from messy architecture due to the framework's unopinionated nature. This article focuses on domain logic, which is code that operates on domain models like user objects. The goal is to isolate domain logic from components and move it to a dedicated domain layer, improving code readability, testability, and reusability.
German Strings, designed for data processing, are a custom string type that optimizes for short, immutable strings. Unlike C or C++ strings, German Strings store short strings directly in place and include a prefix for faster comparisons. Long strings are stored with a pointer, length, and prefix, but without extra capacity for appending. German Strings also have three storage classes: temporary, persistent, and transient.
You should review your own pull requests (PRs) in the GitHub UI to catch mistakes and improve code quality before involving other team members. This practice helps identify issues that might be overlooked in the code editor and allows for more productive and focused code reviews. Add comments to PRs to explain design choices and alternative solutions tried before sending them out for review.
Story points, used to estimate effort in Agile development, are unreliable due to their relative nature and inherent variability. Velocity, which converts story points into time, further worsens this problem by creating unrealistic deadlines and discouraging teams from exceeding expectations. A better approach is to break down projects into smaller tasks, creating queues, and tracking the average task rate, which provides a more reliable way to project completion times and adjust for scope changes.
Engineering teams often face a problem when choosing system design tools: they focus on the solution (diagramming tools) rather than the underlying problem (understanding and communicating complex systems). System design is a continuous process that goes beyond diagrams and includes documenting requirements, architecture, and decisions. Modern software systems are too complex for traditional diagramming tools, which lack real-time updates, collaborative features, and the ability to manage cloud resources.
Codestral Mamba is a new open-source model designed to improve code productivity. Unlike Transformer models, it has linear time inference and the ability to model infinite length sequences. It can be used as a local code assistant and deployed using the mistral-inference SDK or TensorRT-LLM.
The AWS Secrets Manager Agent is a client-side HTTP service that can be used to standardize the consumption of secrets from Secrets Manager across environments such as AWS Lambda, Amazon Elastic Container Service, Amazon Elastic Kubernetes Service, and Amazon Elastic Compute Cloud. The Secrets Manager Agent can retrieve and cache secrets in memory so that your applications can consume secrets directly from the cache. That means you can fetch the secrets your application needs from the localhost instead of making calls to the Secrets Manager.
Eidos is an extensible framework for managing personal data throughout its lifetime in one place. It runs in the browser and has offline support and local AI features.
This author initially implemented a bignum library using base-10 digits, but it was slow. They then optimized it by switching to 30-bit digits, which improved memory efficiency and arithmetic operations. This change resulted in an 83% faster addition and a 99% faster multiplication.
AI Lab is a pre-production framework at Meta that continuously A/B tests common ML workflows to proactively improve and prevent regressions on Time to First Batch (TTFB), a key metric for ML engineer productivity.
Andrej Karpathy has announced a new AI+Education company, Eureka Labs, which aims to create an AI-powered learning platform where students can learn from high-quality course materials guided by AI Teaching Assistants.
Small, focused pull requests that do exactly one thing each are easier to review, less likely to have merge conflicts, easier to rollback if something goes wrong, and lead to more accurate descriptions and increased code coverage.
Jon Kern, co-author of the Agile Manifesto, criticizes a recent report on Agile failure rates, arguing that it misrepresents Agile principles and promotes excessive processes that obscure the original spirit of the Manifesto.
An ex-Coinbase employee discusses performance challenges faced when using React Native at Coinbase, including re-rendering issues and solutions implemented, as well as platform-specific optimizations between iOS and Android.