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Reading up on ide

14 deep · digging since nov 19, 25

  • news.ycombinator.com favicon
    Tree-sitter vs. Language Servers

    The Hacker News discussion explores the trade-offs between Tree-sitter's incremental parsing for syntax highlighting and Language Server Protocol's semantic features, concluding that combining both yields the best editor experience.

  • cursor.com favicon
    Cursor agent best practices

    Cursor's official guide details best practices for coding agents, emphasizing planning, context management, rules, and iterative review to maximize productivity.

  • diffs.com favicon
    Diffs, from Pierre

    @pierre/diffs is an open-source diff and code rendering library built on Shiki, offering customizable layouts, theming, and annotation support.

  • davegriffith.substack.com favicon
    Claude Code Sees Like A Software Architect

    Claude Code's native LSP support lets it understand code structurally like an IDE, eating the business model of startups that built semantic code understanding as middleware.

  • visualstudiomagazine.com favicon
    Just a moment...

    Microsoft is deprecating its free, local IntelliCode AI code completion extensions in VS Code and pushing developers toward subscription-based GitHub Copilot with usage caps.

  • every.to favicon
    Compound Engineering: How Every Codes With Agents

    The piece outlines a four-step 'compound engineering' loop—plan, work, review, compound—to make each coding unit simplify future work, enabling small teams to run multiple products via AI agents.

  • cursor.com favicon
    Introducing Debug Mode: Agents with runtime logs

    Cursor introduces Debug Mode, an agent loop that generates hypotheses, instruments code with runtime logs, and requests human verification to reliably fix bugs that stump standard AI models.

  • kix.dev favicon
    First make it fast, then make it smart

    Faster AI coding models, even if less intelligent, are more productive for quick mechanical code edits than slower, smarter models, especially for users with short attention spans.

  • developers.openai.com favicon
    Building an AI-Native Engineering Team

    Coding agents like Codex can now sustain multi-hour reasoning tasks, transforming the entire software development lifecycle by delegating mechanical work across planning, design, build, test, review, and deployment.

  • github.blog favicon
    How to write a great agents.md: Lessons from over 2,500 repositories - The GitHub Blog

    Analyzing 2,500+ agents.md files reveals that effective agent definitions require specific personas, executable commands, code examples, and clear boundaries.

  • news.ycombinator.com favicon
    Google Antigravity

    Google announced Antigravity, an agentic development platform that extends its AI IDE with multi-agent workspace management, CLI, and SDK.

  • simonwillison.net favicon
    Google Antigravity

    Google released Antigravity, an agentic IDE and VS Code fork with three surfaces—agent dashboard, editor, and browser extension—for building apps with Gemini models.

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