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Reading up on Sentry

13 deep · digging since dec 23, 25

  • cra.mr favicon
    Building an Intern

    Building a practical Slack agent required 100k lines of TypeScript and four months of iteration to handle serverless constraints, credential management, and secure tool orchestration.

  • linear.app favicon
    Coding sessions in Linear – Changelog

    Linear Agent can now write and review code using Claude Code and Codex, enabling end-to-end issue-to-ship workflows from within Linear.

  • claude.com favicon
    The evolution of agentic surfaces: building with Claude Managed Agents

    Claude Managed Agents decouples model reasoning from code execution to let teams deploy production-grade agents without building custom infrastructure.

  • blog.sentry.io favicon
    How we cut build times by two-thirds by deleting our CMS

    Sentry cut build times from 14 to under 4 minutes by replacing its headless CMS with Astro, Markdown files, and Claude Code skills for content management.

  • ethanding.substack.com favicon
    claude code is not making your product better

    Coding agents increase senior engineer output but not product velocity, as the bottleneck is product taste and complexity management, not code production speed.

  • blog.sentry.io favicon
    Fair Source Software in the AI age

    Fair Source licensing remains viable in the AI era by using contract law, not just copyright, to prevent clones from competing, even as AI-generated code challenges traditional open-source enforcement.

  • warden.sentry.dev favicon
    Warden

    Warden is a CLI tool that uses Markdown-defined skills to create AI agents that automatically review every pull request for security and correctness issues.

  • news.ycombinator.com favicon
    AI is killing B2B SaaS

    AI's ability to let enterprises quickly build fit-for-purpose internal tools is undermining bloated, expensive B2B SaaS products that fail to evolve.

  • cra.mr favicon
    Context Management and MCP

    The article argues that MCP's value is in steering agents with rich context descriptions, that progressive disclosure is counterproductive, and that subagents may better manage context rot.

  • www.raindrop.ai favicon
    Thoughts on Evals – Raindrop Blog

    Production monitoring and A/B testing offer more reliable evaluation of AI agents than offline evals, which fail to capture real-world performance.

  • cra.mr favicon
    MCP, Skills, and Agents

    Skills and MCP tools serve different but complementary purposes for coding agent harnesses, and neither replaces the other despite hype cycles claiming otherwise.

  • lucumr.pocoo.org favicon
    A Year Of Vibes

    Armin Ronacher reflects on 2025 as a year of agentic coding tools like Claude Code, which replaced much of his direct programming, and discusses the cultural, technical, and social challenges this shift presents for software engineering.

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