9 articles
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.
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.
12 AI coding tools across 4 architecture types, compared on pricing, strengths, weaknesses, and best use cases. The definitive comparison matrix for 2026.
Terminal agent, IDE agent, cloud agent. Three architectures compared - how to decide which fits your workflow, or why you should use all three.
Cursor edits code in your IDE. Codex runs in a cloud sandbox and submits PRs. Here is when to use each for TypeScript projects.
Codex runs in a sandbox, reads your TypeScript repo, and submits PRs. Here is how to use it and how it compares to Claude Code.
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