OpenAI products and APIs - GPT models, Codex, ChatGPT, and how to build with them.
42 resources - 36 posts, 6 tools

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.

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.

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.

The latest GPT Image 2 prompt-library repos are not just galleries. They point at a practical workflow for repeatable visual systems, agent-friendly templates, and cheaper creative iteration.

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.

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.

A deep comparison of Codex's new /goal loop and Claude managed agents outcomes, with practical workflow examples, control tradeoffs, and migration guidance for long-running tasks.

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.

Configurable memory, sandbox-aware orchestration, Codex-like filesystem tools. Here is how the new Agents SDK actually behaves in prod.

Apps SDK extends MCP with UI. Here is how to ship a real Apps SDK app from scratch: logic, interface, deploy, distribution, and the gotchas that cost me a weekend.

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

GPT-5.4 ships state-of-the-art computer use, steerable thinking, and a million-token window. Here is the implementation guide for builders, with real OpenAI SDK code, the 272K pricing cliff, and where it actually beats 5.3 and 5.5 in production.

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.

GPT-5.5 and 5.5 Pro hit the API on April 24. Here is what changes for builders: pricing, agentic tasks, tool-use, and the real benchmarks I ran the day it dropped.

AgentKit gives you Agent Builder, Connector Registry, and ChatKit. I rebuilt my newsletter-research agent on it. Here is where the visual canvas wins and where I bailed back to code.

OpenAI shipped an open-weight PII redactor. Here is how to wire it into a real ingestion pipeline locally, fast, with zero leaks, and how it benchmarks against Presidio and a regex baseline.

OpenAI is sunsetting the Assistants API in 2026. Here is a tested migration plan to the Responses API - code, state, threads, tools, every cliff I hit, in order.

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.

Two platforms, two philosophies. Here is how Anthropic and OpenAI compare on APIs, SDKs, documentation, pricing, and the actual experience of building with each.

The creators of Ruff and uv are joining OpenAI. Here is what this means for the Python ecosystem, AI tooling, and why OpenAI is investing in developer infrastructure.

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.

A developer's comparison of OpenAI and Anthropic ecosystems - models, coding tools, APIs, pricing, and which to choose for different use cases.

State-of-the-art computer use, steerable thinking you can redirect mid-response, and a million tokens of context. GPT 5.4 is OpenAI's most capable model yet.

OpenAI has entered the browser wars with ChatGPT Atlas, a web browser that embeds ChatGPT directly into the browsing experience. This is not a simple sidebar addition or extension - Atlas reimagines ...

OpenAI is turning ChatGPT into a hub. The new Apps feature lets you access external services directly inside conversations.

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

GPT-5 introduces a fundamentally different approach to inference. Instead of forcing developers to manually configure reasoning parameters, the model operates as a unified system with real-time rou...

OpenAI has released its first open-weight models in over five years. GPT-OSS 12B and GPT-OSS 20B are now available under the Apache 2.0 license, marking a significant shift in strategy for the comp...

OpenAI has merged its browsing capabilities with deep research into a single agent that can take action on the web, generate spreadsheets and slide decks, and handle complex multi-step tasks from sta...

OpenAI released their Agents SDK for TypeScript with first-class support for tool calling, structured outputs, multi-agent coordination, streaming, and human-in-the-loop approvals. Here is how each piece works.

OpenAI's Deep Research is an AI agent inside ChatGPT that plans and executes multi-step research workflows, browsing dozens of websites and producing cited reports in minutes instead of hours.

OpenAI added scheduled tasks and reminders to ChatGPT, turning it from a chat interface into something closer to a personal AI agent. Here is how it works, what it can do today, and where this is heading.

OpenAI shipped a new feature in the ChatGPT macOS app that lets it read context from VS Code, Xcode, Terminal, and iTerm2. Here is how to set it up, what it can actually do today, and why the future of this feature matters more than the current version.

The Realtime API uses WebSockets for two-way voice interaction with function calling and stateful conversations. Here is how to set it up and build on it.
OpenAI's coding agent for terminal, cloud, IDE, GitHub, Slack, and Linear workflows. Reads repos, edits files, runs commands, and returns reviewable diffs.
AI CodingLightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
AI FrameworksOpenAI's flagship. GPT-4o for general use, o3 for reasoning, Codex for coding. 300M+ weekly users. Tasks, agents, web browsing, DALL-E, code interpreter.
AI ModelsOpenAI's latest flagship model. Major leap in reasoning, coding, and instruction following over GPT-4o. Powers ChatGPT Plus/Pro and the API. Available via API and ChatGPT.
AI ModelsOpenAI'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 CodingMulti-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.
AI Frameworks
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