#event-driven computing
47 related articles
·7 min
The Five Pillars of Production-Grade AI Agents: A Battle-Tested Guide from Demo to Deployment
Databricks tech lead Sandy shares a five-pillar framework for production-grade AI Agents—evaluation, observability, data foundation, orchestration, and governance—with a £85K retail banking failure case to bridge the demo-to-production gap.
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·7 min
ManagedAgents.sh: A Deep Dive into the Model-Agnostic Open-Source Managed Agent Platform
ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.
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·5 min
How the Brain Sees and Thinks Simultaneously: A Complete Guide to Predictive Coding Circuits in Visual Cortex
Why can humans "see" the world even under blur and occlusion? This article analyzes bidirectional feedforward-feedback circuits in visual cortex, revealing how predictive coding fuses perception with cognition and its implications for AI.
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·7 min
Getting Started with Dify: A Complete Guide from Local Deployment to Building Enterprise-Grade AI Applications
A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.
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·6 min
AI Agent Learning Roadmap: A Four-Stage Guide from Beginner to Practical Mastery
A systematic AI Agent learning roadmap in four progressive stages: fundamentals → ReAct core paradigm → memory & tools → multi-agent collaboration. Master LangChain, AutoGen, and more, growing from beginner to practical developer in three months.
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·6 min
GPT-5.6 Three-Model Family Launch: A Complete Breakdown of Sol/Terra/Luna Capabilities and the Government Restriction Incident
OpenAI officially launches the GPT-5.6 family, including the Sol flagship, Terra balanced, and Luna lightweight models. Coding capabilities set a new industry benchmark, generating a Minecraft clone in 90 minutes—while OpenAI publicly opposes U.S. government release restrictions.
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·7 min
DryFox v0.3.3: AI Agent Team Collaboration + Composable UI Panels Explained
In-depth look at DryFox v0.3.3's three core features: multi-role agent team collaboration, one-click reusable team templates, and block-style composable UI panels. With Stop Hook, file mailbox comms, and hot-reload plugins.
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·7 min
A Complete Guide to LangGraph's Core Concepts: The Framework of Choice for Enterprise Agent Development
An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.
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·7 min
Real-Time Collaborative Painting on a 3D Globe: A Deep Dive into the Paint the Earth Open Source Experiment
Paint the Earth is an open-source project letting users worldwide paint together in real time on an interactive 3D globe. This article breaks down its WebGL rendering, WebSocket real-time sync, and the social value behind collaborative art.
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·5 min
Deep Dive into Vercel's eve Framework: How AI Agents Are Becoming an Entirely New Form of Software
Vercel's Chief of Software Andrew Qu explains the eve Agent framework's design philosophy, covering Skills modularity, Sandboxes security, and agent-readable websites—revealing the paradigm shift from instruction-driven to goal-driven software.
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·7 min
Hermes Agent Deep Dive: An AI Agent Framework That Uses Fewer Tokens Than Open Cloud
Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.
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·3 min
OpenHands Agent Canvas: The Central Control Console for Managing All AI Agents
Deep dive into OpenHands Agent Canvas: not another AI coding assistant, but a unified control plane for managing Claude Code, Codex, and other AI Agents with automated workflows and self-hosted deployment.
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·3 min
AI Agent Loops in Practice: Four PRs Auto-Merged While I Slept
From manual AI prompting to building automated loops — let Agents prompt, review, and merge code themselves. A real-world case: one message triggers four PRs auto-reviewed and merged overnight.
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·3 min
Planning with Files: Solving AI Coding's "Amnesia" Problem with Three Files
Planning with Files uses three Markdown files and Hooks to solve the context loss problem in AI coding tools like Claude Code and Cursor during long tasks.
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·2 min
Python Quantitative Backtesting in Practice: A Complete Guide to Building Stock Trading Strategies with Zipline
Learn how to use Python Zipline Reloaded for quantitative backtesting, covering SMA crossover, MACD strategies, YFinance data setup, leverage control, trading costs, and multi-asset portfolios.
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·3 min
Biological Neurons vs. Artificial Neurons: How Big Is the Computational Gap?
Research shows biological neurons far outperform classical artificial neurons. Explore dendritic computing, temporal coding, and what this means for next-gen AI architecture design.
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·3 min
Codex Loop Patterns: The Paradigm Shift of AI Agents from One-Shot Tasks to Continuous Loops
Deep dive into Boris Cherny's AI agent loop patterns: loop workflow elements, loop contracts, four practical loops (PR Babysitter, CI Health, Deploy Verification, Feedback Clustering), and failure prevention strategies.
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·2 min
Google AI Studio Mobile App Coming Soon: Full Vibe Coding Development Workflow on Your Phone
Google AI Studio is launching Android and iOS mobile apps, enabling Vibe Coding on phones with Firebase backend integration for full build-to-deploy workflows.
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Industry Insights·2 min
Cloud AI Agent Architecture Design: Far More Than Moving Local Agents to a Server
Building cloud AI Agents requires entirely new architectural thinking. This article analyzes three core infrastructure components—durable execution platforms, execution frameworks, and dev environment tools—to help teams avoid common pitfalls when migrating from local to cloud.
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Tutorials·2 min
Five Major Firebase AI Logic Updates: Hybrid Inference, Prompt Security & AI Monitoring Explained
Detailed breakdown of Firebase AI Logic's major updates covering Server Prompt Templates, hybrid inference, Cloud Functions triggers, AI monitoring, and Context Caching for secure, efficient AI apps.
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