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Wednesday 28 October

  • Simon Willison

    ArticleSimon Willison

    The October inflection point for vibe game development

    Simon Willison argues that October 2026 marks a new inflection point for vibe coding computer games, following the November 2025 inflection point for coding agents when Opus 4.5 and GPT-5.1 crossed a tipping point that made their coding agents reliable daily drivers for software engineers. He illustrates the new inflection point with examples of games built through vibe coding, including Tree Appreciator, Emberwick, Battle Drones, and Pumpkin Farmer (aka Quarter Sun Cove).

Tuesday 20 October

  • VideoAlex Sprogis

    Developing macOS Apps with AI: Complete Guide (2026)

    In this guide, content creator Alex Sprogis explains how he built a personal macOS menu bar app that monitors system performance and helps free up hard drive storage, using AI coding agents. He walks through his structured process: first drafting a product briefing that defines the target audience, platform, features, and what to exclude (since coding agents tend to overengineer), then creating a visual prototype in Claude Design (claude.ai/design) to lock in the app's look before coding, and finally having a coding agent implement the app using specifications to keep the agent organized on larger projects. He recommends native Swift development with Xcode for accessing OS system functions, and mentions using Claude Code, Cursor, and ChatGPT/Codex as coding agents.

Thursday 8 October

  • VideoNate Herk

    Anthropic Engineers Just 10x'd Everyone's Claude Code

    Anthropic engineers report removing more than 80% of Claude Code's system prompt while preserving model evaluation scores, which they say roughly tenfolded its speed. An Anthropic engineer published an article titled 'The New Rules of Context Engineering for Claude 3.5 Generation Models,' arguing that excess context slows the model and recommending the minimum context needed for a desired result, plus loading MCP tool definitions only when needed. Anthropic says this reduced token usage by 85% and raised MCP evaluation scores. A 2025 study of five models found performance fell 13.9% to 85% as input grew. The creator applied the guidance by auditing his own setup with Claude Code's /doctor command and trimming his CLAUDE.md and skills.