#blast radius
62 related articles
·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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·3 min
AI Quadruples Code Output — Why Traditional Code Review Is Dead
AI coding tools quadruple code output, but review time surges 441% and defect rates jump from 9% to 54%. Learn why traditional Code Review fails and how to fix it with layered review and AI-reviews-AI strategies.
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·3 min
CodeGraph: The 50K-Star Open-Source Tool That Cuts AI Coding Token Usage in Half
CodeGraph is a 50K-star open-source tool that builds a code knowledge graph so AI coding assistants can locate code instantly—cutting Token usage by 47%, boosting speed by 22%, all running 100% locally.
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·4 min
AI Deleted a Database in 9 Seconds and Nearly Destroyed an Entire Company: Humanity's Ultimate Edge Against Replacement
Two real AI Agent disasters reveal: AI can delete a database in 9 seconds, but only humans can clean up the mess. Deep analysis of why humans remain irreplaceable in the AI era.
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·3 min
Hermes Agent Deployment Guide: Building a Mobile AI Coding Workflow with Telegram
Learn how to deploy Hermes Agent on a VPS with Telegram Bot integration for mobile AI coding. Covers Docker setup, GitHub integration, auto-deployment, and comparison with OpenClaw.
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·4 min
The Complete AI App Development Workflow: Six Steps from Idea to Launch
A complete guide to building apps with AI coding tools, covering product docs, prototyping, full-stack development, database design, project management, and testing — no coding required.
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·2 min
New Siri Mac Experience: Earning Rave Reviews Even at the Beta 1 Stage
A tech user bypassed the waitlist via Terminal to try the new Siri on Mac. Even at Beta 1, the verdict was "Apple nailed it" — a promising sign for Apple Intelligence.
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·2 min
CodeGraph: Give Your Coding Agent a Code Map, Save 47% Tokens
CodeGraph is an open-source project with ~40K GitHub stars that uses Tree-sitter to build a local queryable code map, helping Claude Code and Cursor reduce 47% token usage and 58% tool calls.
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·1 min
CodeGraph in Practice: How a Local Code Graph Saves 47% on Token Costs
CodeGraph pre-builds a local code graph so AI coding assistants query function calls and module dependencies directly — cutting 47% of tokens and 58% of tool requests in real benchmarks.
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Getting Started with Claude Code: Setu…
·3 min
Getting Started with Claude Code: Setup, Configuration & AI-Driven Testing in Practice
A practical guide to Claude Code: core concepts, setup tips, and how to pair it with DeepSeek for AI-driven software testing workflows.
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·2 min
ChatGPT Mass Account Suspension: Latest Recovery Updates and What You Should Do
OpenAI confirms mass ChatGPT account suspensions were erroneous. Learn the latest recovery status, effective appeal channels, and how to protect your account.
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·2 min
AI Agent Permission Management: How Sandboxing Mechanisms Limit Potentially Destructive Operations
An in-depth look at AI Agent sandboxing for permission management — how OpenAI uses execution isolation, resource limits, and progressive trust models to contain potentially destructive operations.
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Tutorials·4 min
Four Core Rules Anthropic Engineers Use to Prompt Claude Code
Anthropic engineers share how to properly use Claude Code at AI Code Summit: build composable Skills systems instead of one-off prompts. Master four core rules for skills that get smarter over time.
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Tutorials·2 min
Anthropic Engineer Shares Four Golden Rules for Vibe Coding
Anthropic's coding agent lead shares four core principles for Vibe Coding in production: be AI's product manager, use it at leaf nodes, focus on verifiability, and embrace exponential growth.
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Tutorials·2 min
Harness Engineering Deep Dive: Multi-Level Memory and Multi-Agent Collaborative Development in Practice
Deep dive into Harness Engineering: deconstructing Claude Code's multi-level memory, defense-in-depth, Hermes Agent autonomous evolution, and multi-Agent collaboration for industrial-grade AI development.
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Tutorials·2 min
Codex /goal Command Tutorial: A Practical Guide from AI Q&A to Automated Task Execution
Learn how to use Codex CLI's /goal command with a five-part goal template, suitable task types, and best practices for shifting from prompt engineering to task engineering.
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Tutorials·2 min
Unattended AI Coding in Practice: A Guide to Long-Running Task Automation with Cloud Code
How to run Cloud Code AI coding tools unattended. Covers permission configs, Git Worktree isolation, non-interactive task design, and safety boundaries.
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Expert Opinions·2 min
A Critical Look at AI Coding: Copilot Is Not a Developer's Replacement
An in-depth look at how to properly use AI coding tools like GitHub Copilot, exploring hybrid development, prompt evolution, and the risk of eroding developer learning abilities.
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Expert Opinions·2 min
The Faster AI Generates Code, the Faster Your Project Dies: Trust Engineering Is the Real Bottleneck
AI programming drives code generation cost to zero, but verifying correctness is the ultimate bottleneck. GitClear data shows 10x copy-paste surge. Developers must shift from writing to verifying code.
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Tech Frontiers·2 min
AI Weekly | OpenAI Codex Upgrade, Xiaomi Open-Sources Autonomous Driving Model, NVIDIA Open-Sources 2.6B Parameter World Model
This week's AI roundup covers NVIDIA's 2.6B parameter world model, Xiaomi's open-source autonomous driving model, OpenAI Codex upgrades, and Anthropic's $900B valuation funding round.
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