AI Agents & Automation

There is a specific moment most teams will not think about until it has already happened. An agent that lives in your Slack workspace… Continue reading on Mediu

One of the most important parts of any automated trading bot isn't entering trades—it's managing risk...

day 32 of running real business processes end-to-end on an autonomous AI stack — human-gated on the scary stuff, just one armed switch and a live board i watch

Originally published at devopsdiary.blog . Post F-AID2 in the "Governing AI in the Enterprise" series. The advice for the last two years has been simple: give t

Every factory floor already has cameras. The problem is that nobody is watching them. A safety...

Neo is Bhavin Turakhia’s fifth venture and his latest involving enterprise software. This time he's taking on Microsoft Office, Google Apps with AI.

You're staring at a blank terminal. The feature is due Friday. Your cursor is blinking, and you've...

arXiv:2607.00001v1 Announce Type: new Abstract: Most approaches to AI alignment treat human preferences as fixed targets to be inferred and optimized. This assu

arXiv:2607.00035v1 Announce Type: new Abstract: LLMs and agents can generate web scrapers from natural-language requirements, but direct generation remains unre

arXiv:2607.00064v1 Announce Type: new Abstract: As technology advances, many path-planning algorithms have been proposed for Air Traffic Management, yet their o

arXiv:2607.00147v1 Announce Type: new Abstract: Rare disease differential diagnosis is a critical yet arduous clinical task, requiring physicians to identify pr

arXiv:2607.00155v1 Announce Type: new Abstract: We study runtime human oversight of an AI agent when private information runs in both directions: the human priv

arXiv:2607.00269v1 Announce Type: new Abstract: LLMs, solvers, and agent teams increasingly generate workflow actions, repairs, and plans, but a generated actio

arXiv:2607.00334v1 Announce Type: new Abstract: Autonomous agents, whether LLM-driven software agents or robotic physical agents, face a common class of failure

arXiv:2607.00436v1 Announce Type: new Abstract: Large language model agents are increasingly connected to scientific software, yet it remains unclear when tool

arXiv:2607.00457v1 Announce Type: new Abstract: Embodied agents operating in the real world require multi-scale reasoning and knowledge adaptation as conditions

arXiv:2607.00627v1 Announce Type: new Abstract: Large language models (LLMs) are powerful pattern-completion systems, but their default operating mode - predict

arXiv:2607.00642v1 Announce Type: new Abstract: Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, cont

arXiv:2607.00871v1 Announce Type: new Abstract: Self-evolving agents violate the assumption behind most learning-theoretic guarantees: the data, evaluator, comp

arXiv:2607.01061v1 Announce Type: new Abstract: Computer-assisted synthesis planning breaks target molecules into accessible precursors using large libraries of

arXiv:2607.01084v1 Announce Type: new Abstract: While Large Language Model (LLM) agents demonstrate proficiency in static benchmarks, their deployment in real-w

arXiv:2607.01188v1 Announce Type: new Abstract: In autonomous laboratories, AI agents suggest the next batch of experiments to do. However, planning and executi

arXiv:2606.31980v1 Announce Type: cross Abstract: Agents are increasingly capable of automating software tasks, but can they teach humans how to use software th

We’ve spent the past two years optimizing prompts, fine-tuning models, building RAG pipelines, and designing AI agents. The next… Continue reading on Medium »

An AI agent rarely fails in the middle of a task. It fails in the first thirty seconds, before it writes anything, because it starts working without the decisio

monorepo vs multirepo isn't the real question. Designing for human + agent parallelism is.

The Missing Piece in Today's Agent Hype If you look at today's GitHub Trending, the conversation is dominated by execution (like browser-use automating video ed

Domux: Achieving Sub-150ms Intent Parsing for Edge AI Agents As GitHub Trending reflects the shift from "general chat" to "vertical execution" (RPA, video editi

The Architecture of Autonomous AI: A Practical Guide Why This Matters The AI industry is shifting from "bigger models" to "smarter systems." An intelligent agen

If you've been watching GitHub Trending today, you'll notice a distinct pattern. The hottest repositories aren't just about complex agent reasoning or multi-age

<img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazon

An AI agent doesn't need a paid data vendor to read the web. These eleven REST APIs return real data...

The Invisible Leak: 5 Catastrophic AI Agent Failures and the 56.8% Truth No One Talks...

Last month we added a "long-term memory" module to our intelligent customer-service agent. A user...

x402 answers a question that had to be answered before agent-to-agent commerce could exist at all: how does an agent pay for something… Continue reading on Medi

Shenzhen’s UBTECH just booked 13,000+ orders for its hyper-realistic robotic series in 30 days. It’s not a hardware milestone; it’s the… Continue reading on Med

The cloud isn’t going anywhere — but AI is learning to live without it. Here’s what Edge AI actually means, why it matters, and where… Continue reading on Mediu

Software companies have applied AI to nearly every digital workflow imaginable. The workflows that move goods, power cities, and keep… Continue reading on Mediu

Discover 5 AI developer pain points that are screaming for a solution, from AI agent memory rot to GPU cold starts. Learn how to profit from these opportunities

Percolation Inversion Compiler, Collective Capability Runtime, and the TypeScript PIC Port Continue reading on Medium »

The AI API Mistake That Cost Me Thousands (And How To Avoid It) honestly, I learned this the hard...

Building a Profitable AI Agent with LangChain: A Step-by-Step Tutorial =========================================================== As a developer, you're likely

The discussion around AI often centers on model performance. However, once AI moves into production, integration becomes just as important as intelligence. An A

We need to write a concise 400-500 word educational Dev.to article for professionals about AI automation in AI for independent research scientists PhD level: ho

The 1BZ Ecosystem CopyGuard (protect) → IPVault (monetize) → SmartPDF (deliver) → DZIT (settle on Polygon) → BizNode (automate) AI business operator node — http

At Codens, we run our development on AI agents around the clock: a PRD becomes tasks, agents...

Prompt caching makes context order, provider cache controls, and cache-hit telemetry part of agentic AI architecture.

Subagents are not a feature for complex agentic pipelines only. Even in a normal session, the built-in Explore and Plan subagents are already working to keep ex