178 related articles

Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?

Perplexity stuck in Computer Mode and can't switch back to normal search? This article analyzes the technical causes including server-side preference stickiness and platform differences, with practical solutions.

Deep analysis of LLM agent long-term memory security threats, covering persistence, statefulness, and propagation of memory poisoning, with a six-stage lifecycle defense framework.

The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.

Deep dive into the five evolution stages of AI Agent architecture: model calls, tool calls, workflows, Agent loops, and production runtime. Learn the responsibility boundaries and design principles.

A senior Java developer shares 7 years of IntelliJ IDEA configuration tips: JVM tuning, AI-assisted coding, Testcontainers testing, debugging tricks, and Spring toolchain setup.

Deep breakdown of 4 core AI Agent engineer competencies: business decomposition, multi-Agent architecture, quantitative evaluation, and engineering delivery—bridging the gap from Demo to production.

Docker containers vs VMs for home servers: compare resource usage, management, security isolation, and TrueNAS considerations to find the optimal Home Lab architecture.

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?

An in-depth analysis of Jenkins' technical architecture, plugin ecosystem, distributed builds, and use cases — explaining why it remains the CI/CD leader.

Reddit leak claims Google Gemini 3.5 training checkpoint beat Opus 5 max thinking mode. We analyze the implications, limitations, and what it means for the LLM race.

Gamers struggle above 50ms, yet remote surgery works safely at 199ms latency. This article explains why, covering jitter stability, motion prediction algorithms, and dedicated medical networks.

A ten-year open source maintainer shares how to build a universal tag-to-release GitHub Action, covering its opinionated design philosophy, dogfooding validation, and AI-assisted development.

Reddit leaks suggest a Google Gemini 3.5 intermediate checkpoint outperformed Claude Opus 5 max thinking in testing. We analyze what checkpoints mean, benchmark credibility, and the LLM competition landscape.

A U.S. citizen faces criminal charges after a GrapheneOS phone auto-wiped during an airport border search. Analysis of the privacy rights vs. law enforcement clash.

How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.

A detailed guide on building a full-process HR recruitment Workflow Agent with Spring AI Alibaba Graph, covering resume parsing, multi-dimensional screening, tiered questions, human-in-the-loop, and state rollback.

An in-depth comparison of three leading self-hosted AI agents: OpenClaw, Odysseus, and Hermes. From positioning to core features and security risks, find the right tool for your needs.

A deep dive into enterprise Agent engineering: long-running execution, HITL safety approvals, and event sourcing — with two real-world commercial projects for content ops and SRE.

A comprehensive guide to OpenAI's new AI coding agent Codex: from concept and comparison of its four forms, to installing Git/Node.js/VS Code, configuring the API Key, and creating a workspace.