1. DevToolsDigest
  2. Issue #377

DevToolsDigest: Issue #377

This week's digest includes news and resources from Pretty Wired AI, and more.

Subscribe to the DevToolsDigest

All you need is 3 minutes a week to stay ahead of the devtools space. Get the most relevant industry updates, insightful discussions, and top-notch resources delivered straight to your inbox.

    2 MIN

    The Week in DevTools

    How to Build Your Own LLM from Scratch in 5 Stages

    This is the exact five-stage path from raw internet text to a model that answers like an assistant. Most people think building an LLM is about the architecture. The core lesson here is that the architecture is the part that matters least.

    Your Prompt Isn't Traveling Alone

    When you send a message to a language model, it rarely travels alone. System instructions, conversation history, tool definitions, and retrieved content all hitch a ride, quietly inflating your token count and cost.

    Docker 101: Container Lifecycle

    In this challenge, you'll walk through the full lifecycle of a single container using granular commands and observing how its status, PID, and the root filesystem change throughout the state transitions.

    Industry Research

    AI Made Us Faster. That Was the Problem.

    It is one thing to use AI to generate a prototype, automate a small task, or explore an idea. It is another thing to use AI inside a real product team, on a real codebase, with real customers, docs, tests, releases, and maintenance costs.

    Agent Memory

    LLMs are stateless by design, meaning they have no memory or awareness of past interactions. Each prompt you send to an LLM is treated as a completely isolated event.

    I Counted Nine Kinds of Agents

    "As an infra engineer, undefined terms are a bad habit. When a word means everything, it usually means nothing, and the ambiguity bites eventually. So I asked Claude. I started with 'What does agentic mean?'"

    Developer Venture News

    Modiqo Raises $3M Pre-Seed to Cut Token Spend

    Modiqo today announced pre-seed funding to help companies turn AI experiments into systems they can actually depend on. It's also launching Rote, a tool that watches what an AI agent does when it succeeds, then turns that success into a reliable, repeatable process the company owns.