CODEX

What it actually takes to wire OpenAI Symphony into a Linear-driven Codex workflow - auth, runs, sandboxes, costs, and the gotchas nobody warned me about.

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.

The EMNLP 2026 over-editing paper 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.

Set up Codex Chronicle on macOS, manage permissions, and understand privacy, security, and troubleshooting.

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.

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, local-plus-cloud agent. Three architectures compared - how to decide which fits your workflow, or why you should use all three.

Cursor is editor-first. Codex is terminal, cloud, and PR-first. Here is when to use each for TypeScript projects.

Codex works from the terminal, cloud tasks, IDEs, GitHub, Slack, and Linear. Here is how to use it and how it compares to Claude Code.

OpenAI is drawing a line in the sand. GPT-5 Codex is not an API release.