AI CODING

From Claude Opus 4.7 and GPT-5.5 to Andrej-karpathy-skills and EvoMap - the AI dev tools actually shipping the last 30 days, with commands, links, and pricing.

Four Claude-Design-adjacent repos entered the trending week with a combined 8,300+ stars. Huashu-design, open-codesign, awesome-claude-design, cc-design. Here is what is actually happening, and why the pattern matters.

Adrian Krebs scored 500 Show HN landing pages against 15 AI design patterns. 21% were heavy slop, 46% mild, 33% clean. Here is the pattern list, the method, and why it matters even when you are the one shipping.

Codeburn is a terminal dashboard for tracking token spend across Claude Code and Cursor. Here is what it shows, why people are reaching for it, and how it ties into the over-editing problem.

Martin Fowler reframes AI-era debt into three layers - technical, cognitive, and intent. The third one is the one most teams are silently accumulating. Here is what it is and how to diagnose it.

A new study from nrehiew quantifies a problem every Claude Code, Cursor, and Codex user has felt: models making huge diffs for tiny fixes. Here is why it happens, why tests do not catch it, and what to do about it.

Zed shipped a Threads Sidebar that runs multiple agents in one window, isolated per-worktree, with per-thread agent selection. This is the first major editor to treat parallel agent orchestration as a first-class editor feature, not a plugin.

Autocomplete wrote the line. Agents write the pull request. The shift from Copilot to Claude Code, Cursor Agent, and Devin - explained with links to the docs that prove every claim.

Cursor is a VS Code fork with AI at the center instead of bolted on. What it actually does, how it compares to Copilot and Claude Code, and when to reach for it - every fact checked against the official docs.

A Q2 2026 pricing and packaging update for AI coding tools, based on official plan docs and release notes. Includes practical cost traps and selection frameworks for teams.

Updated 2026 comparison of Aider and Claude Code using official docs and current workflow patterns: architecture, control surfaces, cost behavior, and where each fits best.

A practical operational guide to Claude Code usage limits in 2026: plan behavior, API key pitfalls, routing choices, and team controls using hooks and subagents.

A deep comparison of Claude Code and OpenAI Codex app based on official docs and product updates: execution model, security controls, pricing, workflows, and when each wins.

A practical breakdown of GitHub Copilot Pro and Pro+ in 2026, focused on premium request economics, model access, and how to avoid request-burn surprises.

Hacker News keeps arguing about Claude Code, Codex, skills, MCP, and orchestration. Under the noise, the same four truths keep surfacing: workflows matter more than demos, verification is the bottleneck, skills beat prompts, and orchestration matters more than raw autonomy.

The coding-agent workflow is maturing past giant hand-written prompts. The winning pattern in 2026 is a control stack: project rules, reusable skills, bounded sub-agents, and deterministic tools around the model.

A deep analysis of what AI coding tools actually cost when you factor in usage patterns, hidden limits, and real-world workflows. Pricing tables, decision matrices, and recommendations for every developer profile.

Open-source autonomous coding agent inside VS Code. Creates files, runs commands, and can use a browser for UI testing and debugging with your permission.

How a single developer shipped 100+ features in one day using Claude Code, parallel agents, and the never-ending todo system.

A practical migration guide for developers switching from GitHub Copilot to Claude Code. What changes, what stays the same, and how to get productive fast.