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"I Made AI Coding Tools Free (For Real This Time)"

BACKGROUND
5 SIGNALSFIRST DETECTED 31 March 2026
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How the story developed
Other feeds and industry voices
15 Apr
I Built an LLM Gateway That Learns Which Model to Use — Here's How the Routing Works

<p>How it works:</p> <p>Request arrives at an OpenAI-compatible endpoint<br /> Classifier detects task type + complexity<br /> Adaptive router picks the highest-scoring model for

REPORT · HOW · Dev.toOPEN STORY
18 May
Connect Your MCP Server With DeepSeek V4 — Step-by-Step Guide (2026)

<h2> TL;DR </h2> <ul> <li> <strong>DeepSeek V4 shipped April 24, 2026</strong> in two flavours: <strong>V4-Pro</strong> (1.6T MoE / 49B active) and <strong>V4-Flash</strong> (284B

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16 May
OpenClaw: 13 Errors, $1.50/Month, and an AI Team That Doesn’t Need the Cloud

<p>I run a team of AI agents on a Mac I bought in 2022. They handle my Slack, run research, draft content, monitor infrastructure, and spawn sub-agents for compound tasks. The

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4 May
The Model Is the Brain. The Harness Is the Body. Here's Why That Matters

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

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31 Mar
Unlock Local AI: Generating Synthetic Data for Powerful Fine-Tuning

<blockquote> <p>I created a new website: <a href="https://programmingcentral.vercel.app/books/typescript/" rel="noopener noreferrer">Free Access to the 8 Volumes on Typescript

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15 May
Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top

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1 May
The AI Economy Is About to Get Real

<p>For the last few years the tech industry has quietly assumed this<br /><br /> AI is powerful almost free and it will eventually pay for itself </p> <p>Turns out that story is

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30 Apr
Fix Your Prompt Structure Before You Touch Your Infrastructure

<h1> Fix Your Prompt Structure Before You Touch Your Infrastructure </h1> <p>Most engineering teams treat LLM inference costs as an infrastructure problem. They evaluate model

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