AI Agent
30 articles tagged with this topic
Alibaba Open-Sources Code Review Tool — The Real Win Isn't AI, It's Engineering
Alibaba open-sources OpenCodeReview, hitting 21k Stars. Hybrid architecture—engineering + LLM Agent—fixes three flaws of general AI agents in code rev
DeepSeek's Agent Framework Exposes Five Keys as Chinese Devs Crack the Source
DeepSeek Agent framework has 5 event-dispatch modes decoded in an 8,000-word Chinese source tutorial - a shift from API calls to source-reading.
You Let AI Handle Email — It Might Sell Client Data Behind Your Back
AI Agents can act on their own while you sleep. A security CEO called the risk 'near infinite.' Here's who's actually guarding your tools.
Why Enterprise AI Fails: A 500-Person Firm's Counterintuitive Year
Pythian tested Gemini Enterprise for a year: most enterprise AI failures aren't technical. Essential reading for traditional industry AI adopters.
Xiaohongshu AI side hustle: 20% monetize in 10 days, but watch the bias
Ex-programmer's AI Skill pipeline for Xiaohongshu: ~20% of 50 paid students monetize in 10 days. Real trend, but survivorship bias applies.
Tool calling, not LLMs, is where 90% of AI Agent projects die
Tool calling is AI Agent's action layer: the model declares the function, code runs it. This plumbing decides whether enterprise AI is real—or just a
Google Cloud Adds Pay-as-You-Go AI Agents — Vendors Are Counting the Bill
Google Cloud adds pay-as-you-go AI Agent billing, token discounts, and budget caps in Gemini Enterprise. The blocker isn't capability — it's the bill.
AI's Bottleneck Has Moved: From Model Selection to the Real-Time Data Pipeline
Model selection isn't AI's bottleneck. We see the real-time data pipeline — most enterprises stuck on T+1 batch — blocking Agents in production.
90% of AI Agents Are Wrappers — Three Tests to Filter Vendor Hype
Real agents have clear technical definitions. Three hard metrics from frontline practice to help buyers cut through vendor pitch in AI Agent selection
AI Agent Demo Is Step One — Six Engineering Pieces to Production
Taking an AI agent from demo to enterprise production needs six engineering pieces — more practical and underrated than swapping in a stronger model.
NetEase's AI Sales Agent: 3-Day Onboarding, Cycles Cut in Half — Numbers Unverified
NetEase Qiyi launched "Sales Bao," a vertical sales AI Agent. Vendor claims 3-day onboarding and halved cycles, but data is internal-only, not third-p
AI Agents Now Operate Your Files — Enterprise Adoption Must Clear Security First
China's open-source Eino ADK framework decomposes file operations into 7 pluggable tools. AI now has "hands," but enterprises must solve permissions a
Two AIs Reviewing Trading Code Both Miss a Bug — The Fix Is Locking Down the AI
A quant paper exposes AI self-review failure: two LLMs approved a future-data feature. Fix: restrict AI's toolset, not smarter reviewers.
NVIDIA Sells CPUs to AI Agent Clusters — Compute Giant Chases Full-Stack Revenue
NVIDIA pushes Vera CPU into AI Agent orchestration, extending its compute stack downstream and reshaping enterprise Agent cost economics.
95% AI Projects Fail. The Problem Isn't Models—It's Infrastructure
95% of enterprise AI projects fail. MIT cites weak context governance. Zadig's answer: AI as a workflow node—let humans decide.
AI Agent Crashes on Errors? Feed Failures Back to the Model, Don't Harden Code
'Error as Observation' feeds 403s, timeouts, and tool failures back to the LLM, with dynamic circuit breakers—explains why enterprise Agent demos brea
The Real Problem with AI Agent Teams: Context Engineering Beats Prompt Stacking
Pragma open-sources context management as a standalone subsystem, admitting multi-Agent collaboration is inherently costlier than model IQ.
Microsoft's Agent Lightning Lets AI Agents Self-Tune — Enterprise Gap Persists
Microsoft open-sourced Agent Lightning for zero-code RL tuning of AI agents. Reddit buzz is loud; production-grade validation is essentially zero.
AI Agent Wrecks Production Database — Trust Mechanism Lags Behind Capability
Financial team's AI Agent deleted core tables while auto-fixing data anomalies. Not tech failure—permission design failure. When Agents hit production
AI Now Executes Commands. Developers Can't Agree on Caging It.
r/LocalLLaMA debates how strictly to sandbox AI agents. No consensus—enterprises deploying agents should set policy first.
AI Assistants' 'Amnesia' Is Now a Business — DSH-Style Frameworks Step In
DSH is an open-source context framework for AI Agents. We dissect why AI assistants forget and the engineering behind it—for users and enterprise IT.
AWS AgentCore Gateway Targets Agent Sprawl — Bottleneck Is Governance, Not Tech
AWS Bedrock AgentCore Gateway centralizes AI Agent tool access — controlling who calls what matters more than how smart agents are.
NVIDIA Puts 'Door Locks' on AI Agents — Longer Runtime, Higher Security Stakes
AI Agents grow more capable and run longer — security can't be hand-waved. NVIDIA builds 'lock systems,' turning Agent security into product business.
He Open-Sourced a Middleware After 400 Configs — AI Tool Fragmentation Hurts Most
10×10×4 = 400 configs. A dev open-sourced ai-gateway-desk. AI tool fragmentation is the real practitioner pain—no unified access layer exists.
Tencent WorkBuddy launches Expert Agent — AI tasks as reusable workflows
Tencent WorkBuddy's Expert Agent lets users wrap one-off AI tasks as reusable AI coworkers — a key shift from agent demos to experience accumulation.
NVIDIA AI Agent Codes Its Own Medical Platform — Big Tech Reshapes for AI Coding
NVIDIA plugged an AI coding Agent into Holoscan to write medical/robotics apps. AI coding tools are moving from web pages to industrial SDKs.
Andrew Ng Parses 10,000 AI Job Postings: Judgment, Not Coding, Is What's Scarce
Andrew Ng's team clustered 10,000+ AI job postings into 4 must-have AI engineering skills. The deeper finding: the role shifts from "coder" to "decisi
AI Agents Get to Work—OWASP Tops 2025 LLM Risk List With Excessive Agency
OWASP's 2025 LLM Top 10 names Excessive Agency the #1 Agent risk—from 'saying wrong' to 'doing wrong.' Not taxonomy; engineering teams must answer.
DeepSeek Reveals an Engineering Detail: AI Agent Burn Isn't in the Model
DeepSeek's open code reveals a 9x cache hit gap (6.4%→59.7%) from one engineering move. AI Agent cost lives in architecture, not model IQ.
NetEase Built 52 AI Employees in 7 Days — Why Enterprise Agents Aren't Job-Ready
133 people built 52 AI employees in 7 days at ClawHive. We dig into whether enterprise Agents are actually job-ready—or still polished demos.