#Agentic Coding
631 related articles
·4 min
Laguna S 2.1 Deep Dive: Hands-On Local Deployment of a 118B Parameter Coding Model
In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.
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·3 min
Anthropic Opus 5 Real-World Testing: Outperforms Competitors at Half the Price
Anthropic Opus 5 hands-on review: first to break 30% on ARC-AGI, near Fable 5 agentic coding at half the price. Benchmarks, token costs, and GPT-5.6 comparison.
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·3 min
Anthropic Opus 5 Real-World Testing: Outperforms Competitors at Half the Price
Anthropic Opus 5 hands-on review: first to break 30% on ARC-AGI, near Fable 5 in agentic coding at half the price. Benchmarks, token costs, and GPT-5.6 comparison.
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·3 min
How AI Agents Are Reshaping Enterprise Work: From Task Automation to Organizational Restructuring
Explore how AI agents are redefining enterprise work—from applied AI partnerships and multi-agent collaboration to structural workflow redesign and organizational transformation.
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·2 min
ChatGPT Voice Upgrade: Driving Complete Workflows Through Natural Conversation
OpenAI demos ChatGPT voice on desktop driving full workflows — blog drafting, code debugging, and team collaboration through natural conversation.
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·3 min
Why Kimi K3's Open-Source Model Has OpenAI and Anthropic Running Scared
Deep analysis of the AI industry shockwave triggered by Kimi K3: the double standard behind distillation accusations, performance comparisons with GPT-5.5, real security concerns, and how open-source models threaten closed-source giants.
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·4 min
Opus 5 Real-World Testing: Cheaper Yet Stronger — Why It's Now My Default Coding Model
In-depth testing of Claude Opus 5's coding abilities vs Fable 5 and 5.6 Sol. Why Opus 5 outperforms pricier models at half the token cost, plus selection guide and distillation explained.
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·3 min
Why Kimi K3's Open-Source Model Has OpenAI and Anthropic Running Scared
Deep dive into why Kimi K3 is rattling OpenAI and Anthropic: distillation double standards, GPT-5.5 comparisons, real security risks, and how open-source models threaten closed-source business models.
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·5 min
WebMCP in Practice: Building Browser AI Agent Tools & DevTools Debugging Guide
A detailed guide to Google's WebMCP standard proposal, covering imperative and declarative tool building, smart home and car configuration demos, and Chrome DevTools debugging for AI agent tools.
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·2 min
GitHub Copilot App Beginner's Guide: Mastering AI-Assisted Development from Scratch
A detailed guide to the GitHub Copilot standalone app's core features including project creation, AI agent collaboration, and canvases to help developers get started with AI-assisted development.
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·3 min
Cursor Alternatives Compared: A Guide to 5 AI Coding Tools
Compare 5 Cursor alternatives — from GitHub Copilot and Windsurf to open-source Cline and Continue — covering model freedom, workflow integration, cost, and privacy.
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·2 min
Getting Started with GitHub Copilot App: A Beginner's Guide to AI-Assisted Development
A detailed guide to GitHub Copilot's standalone app covering project creation, AI agent collaboration, canvas features, and tips to help developers get started with AI-assisted development.
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·4 min
Frontend Engineer Driven to Homelab by AI: From React Specialist to Full-Stack Self-Rescue
A 7-year frontend engineer, fearing AI-driven job loss, builds a homelab to learn Docker, databases, and networking. A pragmatic roadmap for developers building breadth in the AI era.
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·4 min
AI Coding Tools in Practice: Which Ones Actually Stuck with the Team?
A 12-person product team shares real-world experiences with Cursor, Codex, Claude Code, and CodeRabbit—exploring efficiency plateaus, scenario matching, and selection criteria for AI coding tools that actually stick.
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·4 min
Claude Code from Scratch: A Complete Guide from Installation to Enterprise-Grade Development
A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.
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·4 min
Gemini API in Practice: Building AI Agents with Files
Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.
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·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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·1 min
Grok 4.5 Free on Cursor: Performance, Cost, and How to Use It
xAI's Grok 4.5 has landed in the Cursor editor, free on all plans. This article covers how to enable it, benchmark performance, token cost comparisons, and practical strategies for pairing it with your main model.
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·3 min
Anthropic's Hands-On Guide: How to Scientifically Choose and Evaluate AI Models
Anthropic's Applied AI team breaks down a methodology for choosing AI models: building custom evals, avoiding three common pitfalls, measuring value by cost per success, and cutting costs with prompt caching and context engineering.
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·1 min
Grok 4.5 Free in Cursor: Performance, Cost, and Usage Guide
xAI's Grok 4.5 has landed in the Cursor editor, free on all plans. This guide covers how to enable it, benchmark performance, token cost comparisons, and practical mix-and-match strategies to maximize this free window.
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