Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Access modifiers like public, protected, and private are a redundant feature in object-oriented programming because they duplicate the interface-defining capabilities already provided by virtual methods and subtyping.
Writing toy programs is valuable because it helps with understanding, creativity, and practical knowledge.
Infinite Mac now supports running early Mac OS X versions (10.1 and 10.3 being the most stable) through PearPC emulation.
Building AI Agents as streaming SQL queries can be done using platforms like Apache Flink. This approach can offer consistency, scalability, and a better developer experience, similar to how microservices can be implemented as SQL queries. Flink's ability to interact with LLMs, its event-driven architecture, and its capacity to manage context through features like lookup joins and retrieval-augmented generation makes it great for building agentic systems.
This post goes through a simple, elegant solution for fine-grained selector-based reactivity, achieving targeted re-renders using a simple store and `useSelector` hook. It avoids unnecessary re-renders of components by subscribing them to specific slices of state. Furthermore, `use-sync-external-store` can be used for React edge-cases, ergonomic store updates, and memoized selectors for derived state.
AI systems process documentation in chunks, relying on content matching and explicit connections, so documentation should be self-contained and contextually complete. To optimize content for AI, use semantic HTML, prefer HTML or Markdown over PDFs, create crawler-friendly content, have semantic clarity with descriptive headings and URLs, and provide text equivalents for visuals.
AI agent performance can be characterized by a "half-life" related to human task completion time. There is an observed exponential decline in success rates with task length and the model proposed in this article allows for predictions of success rates at different task lengths and improvement over time.
lstr is a fast, minimalist directory tree viewer written in Rust. It has both classic and interactive TUI modes with features like Git integration, smart filtering, and customizable display options.
Scrappy is a prototype tool for creating personalized, easily-shared apps for small groups of friends and family. It has a simple development environment inspired by canvas-based tools and "media with scripting" environments.
npmgraph is a tool for visualizing npm modules and their dependencies. It allows users to explore module relationships and can be configured using URL parameters to customize the graph's appearance and content, such as colorization, dependency types, and module selection.
Andrej Karpathy's recent YCombinator talk focused on the evolution of software and introduced the concept of Software 3.0, where programs are written in natural language and program people. He drew parallels between LLMs and operating systems - both have a utility-like nature. Moving forward, devs should build infrastructure that caters to LLMs as agents, where software is rewritten for both professionals and non-professionals alike.
According to a 2025 Qodo report, AI coding tools are widely adopted by developers, with 82% using them daily or weekly. However, one of the main challenges they face is the lack of contextual awareness in AI suggestions. AI's impact on code quality and developer satisfaction rises a lot when productivity is coupled with automated review and increased confidence in the AI's output.
JavaScript was written in the past (2006-2015) with frameworks like jQuery and Backbone.js. Devs came up with creative solutions to overcome browser inconsistencies and language limitations before modern JavaScript features like `fetch()` and `Object.assign()`. For example, jQuery used clever tricks like method chaining with `$('#element').addClass('active').fadeIn()` and `[].push.apply(this, num)` to make jQuery objects behave like arrays.
Sam Altman revealed that Meta unsuccessfully attempted to recruit OpenAI's top talent with offers of up to $100 million.
An old iPhone 8 was repurposed into a solar-powered, off-grid Vision OCR server using Apple's native framework and an EcoFlow River 2 Pro.
It's important to perform performance and stress testing of Node.js apps with tools like AutoCannon, Artillery, and k6.
This article proposes a refactored and more user-friendly API for the ResizeObserver, putting its functionality into a `resizeObserver` function that takes an element and an optional callback to simplify its usage.
Sponsored
A waitlist isn't just a sign-up form—it's your first growth engine. With Clerk's drop-in <Waitlist /> component, you can validate your product idea, attract early adopters, and build momentum before launch. Plus, it connects directly with Loops so you can:
Claude was tasked with creating a chatbot app from scratch with an emphasis on testing, CI/CD, and observability. It was great at bootstrapping the project and setting up infrastructure, but weak in code migration and generating working code in one attempt.
A productive monorepo needs custom tooling to address challenges that arise as the repository grows. Instead of blindly copying solutions from large tech companies like Google and Meta, it's important to prioritize an organization's specific needs and values. A key principle is to make sure that operations on the repository are O(change) rather than O(repo) for the best performance.
While AI is great at menial tasks, its tendency to offer a single, seemingly perfect solution for complex problems can lead to technical debt and downplay problem-solving skills. Devs need to review AI-generated code critically and think about alternative solutions too.
Google Translate is a good analogy to use when discussing the impact of LLMs on computer programming. While some predict the end of programming due to AI tools, LLMs are more like advanced translation tools that augment, rather than replace, human expertise. Translators and interpreters still thrive by providing context and navigating ambiguity.
Google is expanding its Gemini 2.5 model family with the general availability of 2.5 Flash and Pro, as well as the introduction of 2.5 Flash-Lite, a faster and more cost-efficient model.
Genkit is an open-source framework from Firebase that makes the development, integration, testing, and deployment of AI-powered apps across multiple languages and platforms easier. It provides a unified interface to various AI models and streamlines AI development workflows.
Firebase Studio is a full-stack AI workspace that speeds up app development by using AI agents for backend, frontend, and mobile apps. It allows devs to quickly build by importing existing repositories or using AI tools like App Prototyping and Gemini Code Assist. It also has easy deployment to Firebase App Hosting.
For three decades, JPEG has been the dominant image format on the internet. Unlike the GIF, the JPEG document standard was built collaboratively, leading to its widespread adoption. Its compression method, Discrete Cosine Transform (DCT), is what allows it to be so efficient.
o3-Pro is a new, slower, and slightly better version of o3 that uses much more compute for complex problems. While it often delivers improved results, its slowness can disrupt workflows, making it comparable to Deep Research in terms of waiting time.
Amazon CEO Andy Jassy sees a reduction in the company's corporate workforce in the future due to the increasing adoption of generative AI tools. Employees will adapt by learning how to utilize AI to improve efficiency and work with smaller teams.
After noticing many torrent trackers were dead, this developer resurrected the open.demonii.si tracker domain and, with minimal effort, found it was immediately servicing over 3 million peers across nearly 2 million torrents.
Anthropic has written about building effective LLM agents made of simple, composable patterns.
MCP, a standard protocol for connecting tools to large language models, has some vulnerabilities that need protecting against, such as composability chaining and tool poisoning.
Now is the best time to learn software development, since human expertise is necessary for navigating the complexities and illusions AI creates.
There are hidden complexities beyond simple type-safety in managing URL state. Managing URL state well needs bidirectional serialization/deserialization, compact URL representations, and validation for data integrity. This article goes into the importance of time-safety by addressing browser rate-limiting on URL updates and explores strategies for managing immutable URLs.
Environment variables allow devs to modify program behavior without rebuilding. Secrets should never be stored in environment variables used in client-side code since they can then be seen by anyone.
The two best ways to write scalable Go applications are either use-case-driven architecture (like Git's command structure) or data-model-first approaches using repository patterns and three-layer architecture (model/service/storage). A consistent structure becomes necessary as teams grow.
Reviewing AI-generated code takes as long as writing it and submitting unchecked code is irresponsible in professional contexts. AI tools don't end up being multipliers as a result because they end up being a trade-off between speed and quality.
AI agents today are much more useful for writing code compared to six months ago. This developer uses a combination of Cursor, Claude Code, and v0, each working well in specific tasks like general programming, agentic loops, and UI design, respectively. Max effectiveness comes from using these agents alongside deterministic verification, like tests and typed languages, to allow AI agents to "self-heal" and correct errors.
AI is integrating into engineering workflows, offering productivity boosts. However, over-reliance on AI can lead to shallow reasoning, reduced technical ownership, and a decline in learning. Good AI integration focuses on automating repetitive tasks, accelerating prototyping, and validating ideas while still making sure engineers understand and own the final result.
Canine is a deployment platform designed for easier Kubernetes cluster management. It requires Docker and Docker Compose for installation. Canine provides real-time metric tracking and monitoring of Kubernetes clusters.
Motia is a modern backend framework that unifies APIs, events, background jobs, and AI agents into a single system using a core primitive called "Steps." These Steps, similar to React components for backends, can be written in JavaScript, TypeScript, Python, and Ruby and trigger various actions while sharing state and observability.
Vue Equipment is a free and open-source frontend toolkit for Vue. It has ready-to-use plugins and composables for building web apps.
AI is changing penetration testing (pentesting) by automating and scaling the process. Tools are uncovering vulnerabilities at a fast rate, with continuous, real-time security assessments integrated into the software development lifecycle. However, there are still challenges in complex bug detection, accountability, and scope.
Claude Code can be used to automatically generate codebase slide decks with Marp, allowing for team onboarding with a single command. It can also be scripted to create automated reports like a summary of the last week's code changes read aloud. This article experiments with using OpenAI's Codex as a sub-agent for Claude Code.
Preston Thorpe, currently incarcerated, has joined Turso as a software engineer, a dream job he attained through dedication and open-source contributions. He rekindled his passion for programming in prison and participated in a remote work program, eventually leading a development team at Unlocked Labs. His contributions to Turso's Project Limbo, a rewrite of SQLite, led to a job offer from the company.
Building accessible UIs is not only a moral imperative, but also good for developers because it improves debuggability, naming conventions, testability, and overall usability.
Code smells in TypeScript, like long functions and duplicated code, can lead to technical debt, but AI tools can help identify and automatically fix these issues to improve code quality.
Darklang, a statically-typed functional programming language, has been open-sourced under the Apache 2.0 license.
During the browser wars, Netscape and Microsoft compromised on a unified and standardized security protocol derived from Netscape's SSL 3.0, resulting in the creation of TLS 1.0 through collaborative negotiation and a name change to avoid the appearance of endorsing either company's technology.