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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

A practical guide to wiring up AI agents that review PRs before your team does

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

arXiv:2604.08601v1 Announce Type: new Abstract: The rise of autonomous AI agents exposes a fundamental flaw in API-centric architectures: probabilistic systems

arXiv:2604.08603v1 Announce Type: new Abstract: Existing LLM-based agent systems share a common architectural failure: they answer from the unrestricted knowled

arXiv:2604.08621v1 Announce Type: new Abstract: In consumer applications, Customer Relationship Management (CRM) has traditionally relied on the manual optimisa

arXiv:2604.08685v1 Announce Type: new Abstract: Automated planning algorithms require an action model specifying the preconditions and effects of each action, b

arXiv:2604.08707v1 Announce Type: new Abstract: Monadic second order logic (MSO2) plays an important role in parameterized complexity due to the Courcelle's the

arXiv:2604.08712v1 Announce Type: new Abstract: The generation of planning domains from natural language descriptions remains an open problem even with the adve

arXiv:2604.08756v1 Announce Type: new Abstract: The situated view of cognition holds that intelligent behavior depends not only on internal memory, but on an ag

arXiv:2604.08863v1 Announce Type: new Abstract: Recovering analytical solutions of physical fields from visual observations is a fundamental yet underexplored c

arXiv:2604.08865v1 Announce Type: new Abstract: Proximal Policy Optimization (PPO) is central to aligning Large Language Models (LLMs) in reasoning tasks with v

arXiv:2604.08905v1 Announce Type: new Abstract: Reinforcement learning (RL) is effective in enhancing the accuracy of large language models in complex reasoning

arXiv:2604.08931v1 Announce Type: new Abstract: Human cognitive development is shaped not only by individual effort but by structured social interaction, where

arXiv:2604.08987v1 Announce Type: new Abstract: As Large Language Models (LLMs) advance toward embodied AI agents operating in physical environments, a fundamen

arXiv:2604.08988v1 Announce Type: new Abstract: Current LLM-based agents demonstrate strong performance in episodic task execution but remain constrained by sta