software-development

GitHub Advanced Security webinar on September 29 will cover code validation throughout the development process.

A tweet proposing the creation of an automated skill called /fix-one-thing to read coding standards and fix violations in the codebase.

The article details a debugging case where employees experienced memory write errors due to an access violation from a failed code injection attempt in Windows systems.

The post discusses capping the size of AI coding agent-generated pull requests to maintain review quality, seeking input on effective thresholds and trade-offs.

The article critiques the resistance to changing or customizing programming languages, discussing historical debates around macros and advocating for greater flexibility in language design.

The author reflects on their identity as a low-level programmer and grieves the industry's shift towards higher-level abstractions like 'vibecoding,' emphasizing the loss of detail-oriented work that once defined their passion for understanding machines.

The article argues against trivializing AI as 'just a tool,' emphasizing its broader implications in industry, ethics, and society beyond simple utility.

This blog post argues that open source software is fundamentally about the users, challenging Rich Hickey's view that maintainers are solely gift-givers, and emphasizes the ethical and social obligations in the maintainer-user relationship.

This post summarizes insights from Lauren's talk on shipping 2,500 PRs using locked-down AI agents, emphasizing verification infrastructure and feature maps for efficient codebase management.

The article describes the author's project to write a ray tracer in the esoteric programming language Brainfuck, exploring the technical challenges and design decisions involved.

The author reflects on the decline of plan modes in AI-assisted coding, arguing that as models improve, these modes are becoming obsolete, while the need for human comprehension of software systems becomes more critical.

The article reflects on how programming languages and their communities might evolve in the AI era, with a focus on the impact of coding agents on language design, tooling, and ecosystem dynamics.

Wand is a tool that converts spoken thoughts into code, enabling faster software development by bypassing traditional typing methods.

The article reflects on DHH's Rails World keynote, discussing the implications of AI agents for coding and emphasizing the balance between automation and developer understanding in software development.

Kent C. Dodds shares insights from his talk on product engineering with AI agents, highlighting the shift from output to outcome ownership, and presents his SaaS product Kody as a practical tool for durable software creation.

The tweet discusses how AI can embody the Rails philosophy by eliminating unnecessary coding, highlighting the value of not writing code that isn't needed.

The article discusses how Rust can simulate named arguments using its type system with structs, offering an ergonomic alternative without new language features.

This article explores the evolution from developer tools to AI agents, highlighting how they are reshaping the role of developers and the tech industry, drawing parallels to historical shifts in power dynamics.

Apple demos a feature in iOS 27 where a new Safari button creates extensions using AI, reducing development time significantly.

The article discusses the challenges of managing autonomy for AI agents in software development, raising questions about permissions, traceability, and the role of human oversight.