Best of Vercel — February 2026

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    Article
    Avatar of vercelVercel·14w

    Introducing Geist Pixel

    Geist Pixel is a new bitmap-inspired typeface that extends the Geist font family with five distinct variants (Square, Grid, Circle, Triangle, Line). Built on a strict pixel grid, it maintains the same typographic rigor as Geist Sans and Geist Mono with consistent metrics, predictable scaling, and production-ready implementation. Each glyph was manually refined for clarity and includes 480 glyphs, 7 stylistic sets, and support for 32 languages. The font is available via npm or Google Fonts and integrates seamlessly with existing Geist typography through aligned vertical metrics and CSS variables.

  2. 2
    Article
    Avatar of vercelVercel·13w

    Vercel Flags is now in public beta

    Vercel Flags is now in public beta, offering native feature flag management directly in the Vercel Dashboard. It includes targeting rules, user segments, and environment controls, with SDK support for Next.js and SvelteKit. The service also supports OpenFeature standard for integration with other frameworks and custom backends. Pricing is $30 per million flag requests, available to teams on all plans.

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    Article
    Avatar of hnHacker News·11w

    vercel-labs/just-bash: Bash for Agents

    just-bash is a TypeScript library from Vercel Labs that simulates a bash environment with an in-memory virtual filesystem, designed for AI agents needing a secure sandboxed shell. It supports a wide range of Unix commands (file ops, text processing, jq, sqlite3, Python via Pyodide), multiple filesystem backends (InMemoryFs, OverlayFs, ReadWriteFs, MountableFs), optional network access with URL allow-lists, execution protection against infinite loops, AST transform plugins, and a Vercel AI SDK integration via the companion bash-tool package. A CLI binary and interactive shell are also included.

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    Article
    Avatar of collectionsCollections·11w

    Vercel Launches React Best Practices Skill with 40+ Performance Optimization Rules for AI Code Assistants

    Vercel has open-sourced 'react-best-practices', a repository containing 40+ performance optimization rules for React and Next.js applications. Organized into eight categories, the rules cover async waterfall elimination, bundle size reduction, re-render optimization, and JavaScript micro-optimizations, each with before-and-after code examples. A key feature is an AGENTS.md file that packages all rules into a format queryable by AI coding tools like Claude Code, Cursor, Codex, and OpenCode via a single install command. The repo has gained over 21k GitHub stars and 150k weekly installs, though some community members raise concerns about supply chain security and whether codified rules effectively address AI agent failure modes.

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    Article
    Avatar of vercelVercel·15w

    Python 3.13 and 3.14 are now available

    Python 3.13 and 3.14 are now supported in Vercel Builds and Functions, alongside the existing Python 3.12. Projects without a specified version currently default to Python 3.12, but this will change to Python 3.14 in the coming months. To maintain Python 3.12, developers need to specify version constraints in their pyproject.toml or Pipfile configuration files.

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    Video
    Avatar of awesome-codingAwesome·14w

    Vercel and Meta can bankrupt you...

    AI-generated code is flooding open-source projects with low-quality contributions, forcing maintainers to restrict external PRs. A developer's hosting bill jumped from $30 to $2,000 when Meta's crawler hit their Vercel-hosted site 11 million times in 30 days. Serverless platforms abstract away infrastructure decisions but remove responsibility and cost awareness. As code generation becomes cheap, operational excellence and understanding first principles matter more than ever. The future belongs to developers who own their work and understand what happens beneath abstractions.

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    Article
    Avatar of vercelVercel·12w

    We Ralph Wiggumed WebStreams to make them 10x faster

    Vercel profiled Next.js server rendering and found that WHATWG WebStreams (ReadableStream, WritableStream, TransformStream) were a major bottleneck due to per-chunk Promise allocations, microtask queue hops, and object overhead. They built `fast-webstreams`, a drop-in replacement that routes operations through Node.js's optimized `pipeline()` internally. Key optimizations include: zero-Promise piping by deferring pipeline construction until the full chain is known, synchronous resolution when data is already buffered, and a minimal `LiteReadable` for byte streams. Benchmarks show 10-14x throughput gains for common patterns—630 MB/s native vs ~6,200 MB/s for pipeThrough chains, and 110 MB/s vs 1,600 MB/s for the React Flight byte stream pattern. The library passes 1,100 of 1,116 Web Platform Tests. The work is also being contributed upstream to Node.js via a PR from Matteo Collina that adds fast paths directly to Node's native WebStreams implementation.

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