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These days, the moment a problem gets stuck in our heads, we turn to AI for help. We explain our problem, it gives us some answers. How accurate or high-quality

Every time you close a tab, your AI assistant forgets you ever existed. This is not a minor inconvenience — it is a fundamental architectural flaw that prevents

Most discussions about AI agent memory stop at storage and retrieval. But the builders pushing agents into production are asking a harder question: what happens

Data Quality Challenges in Modern Analytics and Reporting Modern businesses depend on analytics and reporting more than ever. Every department, from sales to fi

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

I Built the Missing Piece of the MCP Ecosystem If you've been building with AI agents lately, you've probably heard of MCP — Model Context Protocol. It's the op

Real Estate SaaS: Converting Abandoned Pricing Pages In the competitive world of real estate SaaS, pricing pages are often the make-or-break point for potential

You know, I have been writing online for over 6 years now. Earlier, there was no ChatGPT, Gemini, or AI-generated content. The writing was simply based on indiv

TL;DR We built a TypeScript app that: Converts API specs into machine-first storefront pages Routes tasks dynamically across discovery, enrichment, and inferenc

In early April 2026, the CIA confirmed it had deployed an AI agent to produce autonomous intelligence reports. Around the same time, an AI agent on Moltbook wro

I had a dashboard with 14 marketing integrations. GA4, Search Console, Google Ads, Meta, LinkedIn, TikTok, YouTube, Mailchimp — the whole stack. Users could con

Crafting SmartStadia in Public(with Antigravity)💻⚡ <img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=a

I've talked a lot about the changes AI has brought to web coding before, mostly about its strengths. Today, let's look from a different angle and record a few e

AI systems do not suddenly fail. They drift. The Problem Most organizations assume failure looks like: a bug a crash a clear error But in AI systems, failure is

One handles guest communication. One manages pricing. One monitors IoT sensors across properties. One does document extraction. And a lightweight orchestrator r

Across the Apsity App Store dashboard, the FeedMission SaaS, and a dozen side projects, more than half the code I touch is AI-generated. After shipping a SaaS i

The race to put frontier AI on your phone isn't about convenience—it's about architecture. Google's Gemma 4 announcement signals something bigger than another m

You built the AI features. You tested them. You cached the hell out of them. You hardened your background jobs. Now you need to know when things break — before

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

Nerq's AI Agent Ecosystem Weekly Report for Week Ending 2026-04-13 Summary This week, Nerq indexed an additional 6,835 agents and tools, bringing the total to 2

Why Your AI-Built App Works in the Builder But Dies in Production You ship something in Lovable or Bolt. It works. You demo it to users. They want it live. Then

Evaluating an agentic QA platform is harder than it looks. Every vendor can generate a test in a demo. What you cannot see in a demo is how that test performs t

AI coding agents ship code fast. That is the point. But speed without verification creates a specific failure mode: hidden bugs that pass linting, type checks,