OpenAI Codex - CLI, IDE integration, and how it compares to Claude Code and Cursor.
31 resources - 28 posts, 2 tools, 1 guide

Coding agents make code faster than teams can review it. The next advantage is not bigger prompts. It is review systems that force reproduction, small diffs, tests, and receipts.

Codex CLI 0.129.0 added modal Vim editing in the composer. The feature is small, but it points at a bigger shift: terminal agents are becoming native engineering workbenches.

Matt Pocock's skills repo is a useful signal for AI coding teams. The next step is treating skills like governed production controls, not a folder of viral prompts.

Persistent memory for coding agents is trending because every session still starts too cold. The hard part is not saving facts. It is proving recall, freshness, deletion, and rollback under real development pressure.

DeepSeek-TUI is trending because developers want Claude Code-shaped workflows with different models. The real story is portability: approvals, rollback, diagnostics, queues, and cost telemetry are becoming the agent runtime.

Codex automations are useful when recurring engineering work has clear inputs, reviewable outputs, and safe boundaries. Here is the practical playbook.

OpenAI is turning Codex from a coding assistant into a broader agent workspace for files, apps, browser QA, images, automations, and repeatable knowledge work.

Boris Cherny's loop-heavy Claude Code workflow points at the next Codex content lane: recurring agents that babysit PRs, CI, deploys, and feedback streams.

Codex is no longer just a terminal agent. Here is when to use the Codex SDK, Codex CLI, or openai/codex-action, and how to avoid building the same agent loop three times.

Andrej Karpathy's loopy era frame explains why Codex is becoming less like a chatbot and more like an agent loop manager for real software work.

OpenAI's May 8 macOS certificate rotation for ChatGPT, Codex, Codex CLI, and Atlas is not just a one-off update. It is a useful test of how your team governs AI developer tools.

Parallel agents can move faster than one agent, but only when tasks have clean ownership, review receipts, and a merge path that does not turn speed into cleanup work.

OpenAI's April 2026 Codex changelog shows a clear product shift: Codex is becoming a full agent workspace with goals, browser verification, automatic approval reviews, plugins, and tighter permission profiles.

OpenAI is moving Codex from a coding assistant into an enterprise agent platform. Here is what changed with Codex, Managed Agents, AWS, and the Responses API.

OpenAI's Codex Security agent reviews app code for vulns. Here is what it caught and missed on three real production repos.

GPT-5.5-Codex merges Codex and GPT-5 stacks. Here is what the unified model means for real coding agents - latency, costs, prompt rewrites.

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.

Opus 4.7 vs GPT-5.5, the new Codex CLI vs the Claude skills ecosystem. An opinionated April 2026 verdict on which terminal agent to reach for, by job.

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.

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 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.
OpenAI's coding agent for terminal, cloud, IDE, GitHub, Slack, and Linear workflows. Reads repos, edits files, runs commands, and returns reviewable diffs.
AI CodingOpenAI's open-source terminal coding agent built in Rust. Runs locally, reads your repo, edits files, and executes commands. Powered by o3 and o4-mini models.
AI Coding
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