1. DevToolsDigest
  2. issue #322

DevToolsDigest: Issue #322

This week's digest includes news and resources from Crunchy Data, RedMonk, GitButler, and more.

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    The Week in Developer Tools

    abc: AI Bash Command

    abc is a command line tool that converts natural language instructions into shell commands using LLM models like Claude 3.5 Sonnet from Anthropic. abc places the generated command on the next shell prompt, making it easy to review and edit before running with "Enter" or "Return."

    David Crawshaw: How I Program with LLMs

    "This document is a summary of my personal experiences using generative models while programming over the past year. It has not been a passive process. I have intentionally sought ways to use LLMs while programming to learn about them. The result has been that I now regularly use LLMs while working and I consider their benefits net-positive on my productivity."

    pg_incremental: Incremental Data Processing in Postgres

    Introducing pg_incremental, a new open source PostgreSQL extension for automated, incremental, reliable batch processing. This extension helps you create processing pipelines for append-only streams of data, such as IoT / time series / event data workloads. After you set up a pg_incremental pipeline, it runs forever until you tell Postgres to stop.

    Industry Research

    The Evolution of AI-assisted Coding Features and Developer Interaction Patterns

    What started as simple autocomplete suggestions has evolved into something far more powerful – we now have AI that can generate entire functions on the fly, scaffold complete files with proper architecture, and even bootstrap entire codebases from scratch. The tools have evolved from being helpful typing assistants to becoming collaborative coding partners.

    The Dream of Hadoop is Alive in AI

    Nineteen years ago come April, Yahoo allowed two developers to release a project called Hadoop as open source software. Based on the Google File System and MapReduce papers from Google, it was designed to enable querying operations on large scale datasets using commodity hardware.

    Why is Git Autocorrect Too Fast for Formula One Drivers?

    What could possibly be the reason to wait 100ms? Well, it's a combination of a misunderstanding, a misconfiguration, and the suggestion, 17 years ago, of a somewhat questionable unit of time by the Git maintainer himself. As is often the case with Git, there is some hidden method to the apparent madness.