#Agent
1413 related articles
Industry Insights·3 min
Warp Bets on GPT-5.5: How AI Coding Agents Are Reshaping Open-Source Development Workflows
Warp deeply integrates GPT-5.5 to build cross-environment AI coding agents spanning local terminals, cloud deployment, and open-source collaboration. Explore its architecture, open-source strategy, and differentiation from GitHub Copilot.
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Industry Insights·2 min
Cisco Partners with OpenAI Codex: Three Core Scenarios for Enterprise AI Engineering
Cisco partners with OpenAI to bring Codex into enterprise engineering, covering AI-native development, AI Defense security acceleration, and automated bug fixing.
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Research·2 min
How GitHub Is Building a General-Purpose Accessibility AI Agent: Lessons Learned and Technical Challenges
GitHub is building a general-purpose accessibility AI Agent to automatically detect and fix software accessibility issues. Explore the technical challenges, human-AI collaboration, and industry impact.
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Product Reviews
Amazon Kiro In-Depth Review: How Spec …
·3 min
Amazon Kiro In-Depth Review: How Spec Mode Redefines AI Programming
In-depth review of Amazon's AI programming tool Kiro, detailing Spec Mode's three-phase structured workflow (Requirements → Design → Implementation), comparing it with Cursor, plus a full hands-on build of an expense tracking system.
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Product Reviews
Deep Dive into Amazon Kiro: Breaking D…
·3 min
Deep Dive into Amazon Kiro: Breaking Down Its Three Core Features — Spec-Driven Development and Beyond
Deep dive into Amazon's AI coding assistant Kiro and its three core features: Spec-driven development, Steering rules system, and Hooks automation — plus how it compares to Cursor.
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Product Reviews
Kiro IDE In-Depth Review: Can Amazon's…
·3 min
Kiro IDE In-Depth Review: Can Amazon's AI Editor Replace Cursor?
In-depth review of Amazon's Kiro IDE after one week of use, covering Spec-driven development, Vibe mode, and comparisons with Cursor and Claude Code.
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Deep Dives·4 min
MCP Apps Deep Dive: AI Tools Move from Text Exchange to Interactive Collaboration
Deep analysis of MCP Apps: how Anthropic and OpenAI's official MCP extension enables AI tools to return interactive UIs, solving the context gap with Human-in-the-Loop collaboration.
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Tutorials
Codex Team Reveals a New AI Programmin…
·4 min
Codex Team Reveals a New AI Programming Paradigm: Organizational Skills Replace Coding Skills
OpenAI's Codex team shows AI programming now prioritizes organizational skills over coding. Learn the four paradigm shift signals, efficient workflows, and how developer roles are being reshaped.
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Tutorials
Complete Guide to Connecting Codex wit…
·2 min
Complete Guide to Connecting Codex with DeepSeek: Stable Setup in China Without a VPN
Step-by-step guide to deploying OpenAI Codex CLI in China using WSL + MoBridge relay + DeepSeek API. No VPN needed, stable and cost-effective setup in minutes.
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Expert Opinions
100K Views but Only 20 Sales: An Indie…
·3 min
100K Views but Only 20 Sales: An Indie Developer's Monetization Post-Mortem
An AI indie developer built a Windows one-click installer for Open WebUI in 3 days, got 100K views but only 20 sales. A full post-mortem on pricing, distribution, and monetization mistakes.
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Tutorials
Three Ways to Deploy Codex: Subscripti…
·3 min
Three Ways to Deploy Codex: Subscription, API Relay, and Free Alternatives Explained
Three ways to deploy OpenAI Codex: ChatGPT Plus subscription, API relay pay-as-you-go, and Kimi Code CLI as a budget alternative. Covers setup, pricing, and comparison for developers.
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Product Reviews
OpenAI Codex Deep Dive: From AI Q&A to…
·2 min
OpenAI Codex Deep Dive: From AI Q&A to AI Getting Things Done
Deep dive into OpenAI Codex: not just answering questions, but independently executing tasks and delivering results. Learn how Codex transforms AI from advisor to executor.
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Product Reviews
Superpowers vs GStack In-Depth Compari…
·3 min
Superpowers vs GStack In-Depth Comparison: How to Choose Your Claude Code Plugin
In-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
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Tutorials
Cursor Multi-Agent Workflow: A Practic…
·3 min
Cursor Multi-Agent Workflow: A Practical Guide to Main Thread & Grunt Collaboration
Learn the Cursor "Main Thread & Grunt" multi-agent workflow: use a high-tier model for complex tasks and a low-tier model for simple tasks in parallel to maximize AI coding efficiency.
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Industry Insights·3 min
How Jane Street Built a Custom AI Programming Toolchain for OCaml
Jane Street's AI team details how they built a custom LLM toolchain for OCaml, covering workspace snapshot training data, RL with code evaluation, and the AID editor architecture.
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Industry Insights·3 min
AI Agents Deep Dive: The Paradigm Shift from Chat Tools to Autonomous Execution Systems
Deep analysis of AI Agents vs LLMs, covering three evolution stages, four core architecture components, three penetration paths, multi-agent collaboration, and societal impact.
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Product Reviews
GPT 5.5 vs Claude Code vs DeepSeek V4:…
·3 min
GPT 5.5 vs Claude Code vs DeepSeek V4: Hands-On Comparison of Three Top Coding Models
Hands-on comparison of GPT 5.5, Opus 4.7 (Claude Code), and DeepSeek V4 Pro through a 3D flight simulator and WebGPU shader test — covering coding ability, pricing, and real-world performance.
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Product Reviews
Zenflow Hands-On Review: Spec-Driven A…
·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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Product Reviews
Cursor vs Tongyi Lingma vs Qoder: A Co…
·3 min
Cursor vs Tongyi Lingma vs Qoder: A Comprehensive Comparison of Price, Performance, and Experience
In-depth comparison of Cursor, Tongyi Lingma, and Qoder across price, speed, code quality, IDE support, and Agent capabilities with selection advice.
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Industry Insights·2 min
Meta Partners with AWS: Bringing in Tens of Millions of Graviton Cores to Expand AI Infrastructure
Meta partners with AWS to add tens of millions of Graviton cores for AI inference, diversifying its infrastructure to support Meta AI and Agentic experiences for billions of users.
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