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13 articles
Learn how Figma's new code layers feature brings executable code directly into the design canvas, streamlining the design-to-development workflow and enabling AI-powered tools.
Learn how to implement the practical AI features coming to iOS 27, including smart text selection, predictive text enhancements, and AI-powered photo organization.
A new command-line tool simplifies running Linux environments on Macs, making cross-platform development more accessible for developers.
Learn how to interact with AI models using Python by setting up a development environment, installing libraries, and writing your first script to communicate with large language models.
Learn how to create a basic Software Development Kit (SDK) that helps developers interact with APIs, using Python and following industry best practices.
Learn how to use GitHub Spec-Kit to implement spec-driven development with AI coding agents, reducing the 'vibe-coding' problem where AI-generated code compiles but doesn't meet actual requirements.
Learn how to set up Apple hardware development tools and frameworks, creating basic device interfaces that demonstrate the company's hardware-first strategy under new leadership.
OpenAI introduces plugins and skills for Codex, enabling seamless tool integration, data access, and workflow automation. The updates streamline development processes and enhance automation capabilities for businesses and developers.
The practice of 'tokenmaxxing'—generating excessive AI code output—is harming developer productivity and increasing project costs. Experts warn that this approach leads to bloated codebases requiring extensive rewriting and refactoring.
Learn how to work with Arm's new in-house CPU architecture by setting up a development environment, compiling optimized code, and analyzing performance using Arm's development tools.
OpenAI introduces Codex Security, an AI-powered application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise.
Learn how to set up and use Google's Android Bench framework to evaluate LLMs on Android development tasks, including running benchmarks and interpreting results.
