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Agentic Context Engineering (ACE) Explained: Why Your AI Agents Need a Playbook, Not a Prompt

A team from Stanford, SambaNova, and UC Berkeley recently published the ACE paper - and it's the most substantive academic contribution to context engineering I've seen in a while. The core idea: give

dev.to May 20, 2026 Read more →

I Built 3 Developer APIs with $0 Hosting — Here's How

I Built 3 Developer APIs with $0 Hosting — Here's How I wanted to see if I could build and monetize useful developer APIs with literally zero hosting costs. Here's what I built and how it works. The

dev.to May 20, 2026 Read more →

Keyless Deep Learning Steganography: Replacing Spread Spectrum Keys with CNNs 🕵️‍♂️

Imagine hiding a secret message inside the high-frequency details of an image, transmitting it, and then extracting that exact message without ever needing to share a secret decryption key. In this a

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Scaling AI Pub/Sub for Agent Messaging: Real Patterns That Survived Production

Introduction Building reliable, low-latency communication for AI agents feels like a solved problem — until it isn't. We shipped multiple iterations of agent messaging for a product that ne

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Fixing an email confirmation problem in Supabase

There’s a special kind of frustration reserved for bugs that produce no errors. Your code runs; the logic executes as expected, but you aren’t getting the output you expect, and things aren’t function

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DeepSeek-V3: The 671B MoE Model You Can Run Locally in 2026

DeepSeek-V3: The 671B MoE Model You Can Run Locally in 2026 TL;DR Summary DeepSeek-V3 is a 671B parameter Mixture-of-Experts model with only 37B activated per token — rivaling G

dev.to May 20, 2026 Read more →

I Audited 30 llms.txt Files in the Wild. 5 Anti-Patterns Are Already Forming.

I shipped my third llms.txt this month and felt extremely productive. The kind of productive where you close the laptop, pour a coffee, and feel like the entire AI-search problem is now solved on a pe

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Kubernetes 1.36 Pod-Level Resource Managers: Advanced Resource Optimization in Production

Kubernetes 1.36 brings significant improvements to resource management with pod-level resource managers and enhanced vertical scaling capabilities. These features address long-standing challenges in o

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Optimizing Cement Kiln Heat Consumption: A Process Engineer’s Python Approach

For over three decades, my world revolved around the deafening roar of industrial fans, the intense glow of the rotary kiln, and the constant pursuit of the perfect clinker. In those traditional days

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How I Turned 6 Cognitive Science Principles Into an AI Agent That Builds Obsidian Vaults

In 30 years, computers got 100x faster. Our learning method stayed the same: read → highlight → re-read → forget → re-read again. I shared with EMBA students who have to digest hundreds of pages of m

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Your AI database agent needs better errors than “tool failed”

“Tool failed” is not an error message. It is a debugging tax. When an AI agent queries a database through MCP, failures need to be structured enough for the agent to recover and specific enough for

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Your MCP database server should not use an admin key

The fastest way to make an AI database agent dangerous is to connect it with the same credential a senior engineer uses in production. The model does not need your admin key. It needs a narrow, expl

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CDN Cache Invalidation: Why Deleted URLs Still Redirect (And How We Fixed It)

This article was originally published on Jo4 Blog. You deleted the URL. Redis says it's gone. The database confirms it. But users click the link and still get redirected to the destination. cf-cach

dev.to May 20, 2026 Read more →

AI coding agents need browser evidence, not just code inspection

The strongest signal in today's Doramagic GitHub metrics was not an abstract agent framework. It was a practical browser-verification pack: https://github.com/tangweigang-jpg/doramagic-chrome-devtool

dev.to May 20, 2026 Read more →

A YAML-Driven Multi-Channel RestClient — The Story of Building mido-client

I built a Spring Boot 3.2+ open-source library that lets you declare and manage external API channels entirely from YAML. It started in the travel industry The thing is, every OTA has di

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Synthesio charges $36K+/year for Chinese platform coverage. I built one for $0.045/mention.

Synthesio sells Chinese platform coverage for $36K+/year. Brandwatch and Meltwater sit in roughly the same $24K-80K/year band. I built an Apify Actor that does the equivalent core job — Weibo, RedNote

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Mini Program Plug-in Architecture: From Theory to Practice

1. What Is a Mini Program Plug-in? A mini program plug-in is a reusable functional module that can be integrated into any mini program. Think of it as a "component-level micro-application"

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We built a 4-model Council to certify AI agents — every decision is in git

TL;DR — AI agents now do real work, but there is no shared way to say what an agent is, what it is good at, and how that claim was checked. So we built one: an independent certification body where eve

dev.to May 20, 2026 Read more →

How Instagram, WhatsApp, Uber & Netflix Would Be Built Today Using Expo Router

Modern large-scale mobile apps demand maintainable architecture, scalable navigation, robust state management, and production-grade performance. Expo Router makes this achievable in React Native with

dev.to May 20, 2026 Read more →

Building KernelMind Part 3: Evaluation, Retrieval Ablations, RAGAS, and Turning The Project Into Something Measurable

By this point, KernelMind had already evolved far beyond the original “embeddings over code” idea. The system now had: AST-aware chunking fully qualified symbol identities graph-aware retrieval hyb

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