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    3. Knex.js Query Building, Compiler Theory for Frontend Devs, TypeScript Goes Go, and Quantum Computing for Data Scientists

    Knex.js Query Building, Compiler Theory for Frontend Devs, TypeScript Goes Go, and Quantum Computing for Data Scientists

    Published on 31.03.2026

    #dailydev
    #javascript
    #typescript
    motyl.dev<div></div></>FRONTEND

    Knex.js: The SQL Query Builder That Just Works

    TLDR: Knex.js remains one of the most complete and battle-tested SQL query builders for JavaScript, supporting a remarkably wide range of databases including PostgreSQL, MySQL, SQLite3, MSSQL, MariaDB, CockroachDB, Oracle, and Amazon Redshift — all under one consistent API.

    Knex.js — SQL Query Builder for JavaScript


    Compilers Are Already in Your Frontend Code — You Just Do Not Know It

    TLDR: Matheus Albuquerque walks through how compiler theory and static analysis are deeply embedded in everyday JavaScript and frontend development, covering codemods for large-scale migrations, static analysis for understanding user-generated code, and building smarter developer tooling — all through the lens of ASTs and the compiler concepts most frontend devs have never formally studied.

    Compilers, User Interfaces & the Rest of Us by Matheus Albuquerque


    TypeScript 7.0 Is a Go Rewrite and It Is Ten Times Faster

    TLDR: TypeScript 7.0, code-named Project Corsa, rewrites the TypeScript compiler in Go and delivers roughly 10x faster type-checking and 3x lower memory usage. The native binary is already available on npm as @typescript/native-preview, real-world benchmarks show VS Code's 1.5 million-line codebase dropping from 89 seconds to 8.7 seconds, and migration involves some breaking changes around declaration files, type narrowing edge cases, and plugin APIs.

    TypeScript 7.0 Project Corsa: Go Rewrite Migration Guide


    Why Data Scientists Should Actually Care About Quantum Computing

    TLDR: Sara A. Metwalli, a quantum computing researcher at the University of Edinburgh's Quantum Software Lab, makes the case that data scientists have more skin in the quantum computing game than most realize. Optimization, sampling, and large-scale linear algebra — the core of most data science work — are precisely the problem classes that quantum algorithms are designed to address.

    Why Data Scientists Should Care About Quantum Computing

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    External Links (4)

    Knex.js — SQL Query Builder for JavaScript

    knexjs.org

    Compilers, User Interfaces & the Rest of Us by Matheus Albuquerque

    app.daily.dev

    TypeScript 7.0 Project Corsa: Go Rewrite Migration Guide

    app.daily.dev

    Why Data Scientists Should Care About Quantum Computing

    app.daily.dev

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