Building with Google Vertex multimodal AI
How We Built Toon World: An AI-Powered Interactive Learning App for Kids Using Google Gemini and Google Cloud A deep dive into building a real-time in…
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We built an AI agent to write cold emails. Then we used it to sell itself.
We built an AI agent to write cold emails. Then we used it to cold email our first customers — and it almost worked. The problem we were solving At An…
Your Platform Team Needs an Agent Policy — Yesterday
On March 3rd, an attacker compromised the Xygeni GitHub Action by poisoning a mutable tag. Every CI runner referencing xygeni/xygeni-action@v5 quietly…
# How I Built an AI That Controls Cloudflare WAF via Plain English
I've managed Cloudflare across multiple enterprise accounts for the past two years. I know the dashboard intimately — probably better than I'd like to…
Next.js Metadata API: Complete SEO Setup Guide
Modern SSR apps live or die by metadata quality. If search engines and AI crawlers cannot parse titles, canonicals, and schema, rankings stall and sni…
Stop Slouching! Build a TinyML Posture Guardian with ESP32 and TensorFlow Lite 🚀
As developers, we are world-class athletes... of sitting. We spend 8 to 12 hours a day hunched over our mechanical keyboards, chasing bugs until our s…
Get Your Hands Dirty - AgentCore - Memory
Persistent Context with Bedrock AgentCore Memory Standard AI agents often suffer from "goldfish memory"—they forget everything once a session ends. Be…
Running LLMs Locally: A Rigorous Benchmark of Phi-3, Mistral, and Llama 3.2 on Ollama
Abstract This report presents a comprehensive evaluation of three small language models (SLMs) – Llama 3.2 (3B), Phi-3 mini, and Mistral 7B – running …
How I Built Audeza — A Real-Time AI Pitch Coach with Gemini Live API and Google Cloud
I created this piece of content for the purposes of entering the Gemini Live Agent Challenge hackathon. #GeminiLiveAgentChallenge What is Audeza? Aude…
Vibe Coding Gets You 70% There. Here's What Happens to the Other 30%.
I'll admit it. When vibe coding took off, I was completely seduced. You describe what you want, the AI builds it, you test it, prompt again, and watch…
Why AI agents forget everything (and how we fixed it)
If you've built an AI agent or assistant, you've hit this wall: the moment the session ends, it forgets everything. The user comes back the next day. …
Give Your AI Agents a Wallet: MoltsPay + CrewAI in 10 Lines
Your CrewAI agents can research, write, and code. But can they pay for services? Today I'll show you how to give your agents the ability to purchase A…
MCP Just Got Its First Major Funding — Why This Protocol Is the USB-C of AI (And How to Build Your Own Server)
MCP Just Got Its First Major Funding — Why This Protocol Is the USB-C of AI (And How to Build Your Own Server) TL;DR: Manufact, a YC-backed startup, j…
How I Added AI Code Quality Checks to My CI Pipeline in 5 Minutes (And Found 47 Bugs on Day One)
How I Added AI Code Quality Checks to My CI Pipeline in 5 Minutes (And Found 47 Bugs on Day One) TL;DR: Set up Open Code Review — a free, open-source …
Building a Self-Healing Data Pipeline with AWS Step Functions, Bedrock, and Glue Data Quality
How to build an intelligent data pipeline that detects anomalies and automatically remediates issues using generative AI Data pipelines break. It's no…
MiroFish: The Open-Source AI Engine That Builds Digital Worlds to Predict the Future
MiroFish is an open-source AI prediction engine that takes real-world data (news, reports, even novels), spawns thousands of AI agents with unique per…
Get Your Hands Dirty - AgentCore - Runtime / MCP Server Deployment
Production-Ready Tools with Bedrock AgentCore Runtime Deploying custom tools at scale requires more than just local functions; it requires managed inf…
Agent Format: Kubernetes-Style Declarative Definitions for AI Agents
If you've built AI agents across multiple teams or projects, you've probably hit this: every framework defines agents differently, and switching frame…
Stop Wasting Tokens in OpenClaw
OpenClaw Agents: Reduce LLM Cost Without Sacrificing Quality Most teams try to reduce LLM cost by shortening prompts, cutting output length, or switch…
Building MCP Servers: Extend AI with Custom Tools
Building MCP Servers: Extend AI with Custom Tools Artificial intelligence is rapidly transforming how we interact with technology. Large Language Mode…
How API Data Bloat is Ruining Your AI Agents (And How I Cut Token Usage by 98% in Python)
If you are building autonomous AI agents right now using OpenAI, Anthropic, or local models, you have probably run into the exact same wall I did. You…
WebMCP and WebAI: Exploring native AI tools in Chrome
Heeey everyone! Are you all right? everything in peace? Everything calm? I hope you are well! It's been a while since I've posted anything here, but I…
75% of resumes get rejected by ATS before a human sees them — here's how to check yours for
Hey everyone, I've been frustrated with how many qualified people get rejected by ATS before a human ever sees their resume. So I built a free tool th…
From Zero To Crypto-Hero - (Week 2) A Dream Came True...
Hello Dev.to Community ! This week, I would like to share with you, what I've built throughout last 7 days, what I learned, discovered and what happen…
Practical Tips When Working with AI Coding Assistants
Background Modern AI coding assistants like Claude, GitHub Copilot, and ChatGPT can dramatically accelerate development. Recently, while working on a …
Mastering Multi-Provider Routing with OpenRouter
🧠 The Single-Provider Trap Let's be real: treating a Large Language Model (LLM) provider like a highly available, always-on utility is a massive archi…
LedgerMind 3.0 3.3.2: How We Turned "It Works" into "It Works Brilliantly"
Spoiler: 497 commits, three sleepless nights with SQLite, and one very stubborn race condition that refused to die. Reading time: ~12 minutes · For: A…
Building Pebbles: A Journey in AI Tooling
I built Pebbles, a .NET CLI AI assistant, and learned a lot along the way. Here's what happened. Making It Work The first big challenge was multi-prov…
More efficient, more work
Everyone says AI will replace developers. An economist from 1865 says the opposite. When you make something more efficient, you don't get less of it —…
MCP handles tools. A2A handles agents. What handles humans?
There's a debate happening right now in every team building with AI agents: MCP or A2A? It's a good debate. Both protocols are real, well-specified, a…