AGENTOVRA / GUIDES
Practical development experience and reproducible solutions, starting with specific problems.
If the API returns a response but Claude Code or Codex still cannot connect, check a working example, the API key's group and enabled status, the endpoint and authentication, and the specific error. Then verify the configuration in your target tool.
Read more →Having Codex review a feature written with Claude Code used to mean leaving your current tool, opening another terminal, and explaining the project state again. OpenAI's codex-plugin-cc connects your local Codex to Claude Code for reviews, delegated tasks, and session handoffs.
Read more →To have another model review a feature written with Claude Code, you previously had to leave the session, open another terminal, start Codex, and repeat the project background and reasons for the changes. OpenAI's codex-plugin-cc handles that context transfer: enter /codex:review in Claude Code to use the Codex CLI already installed and signed in on your computer…
Read more →When using Claude Code on real projects, you may find yourself repeating the same work: explaining the technology stack again when you reopen a project the next day, or seeing rules from previous code reviews broken again in another file.
Read more →After an AI agent finishes reasoning, it still needs to read and write files, install dependencies, and run scripts. Production systems often allocate a container or microVM to each session, leaving many idle execution environments consuming resources.
Read more →When refactoring, investigating login timeouts, and dividing work into subtasks at the same time, keeping track of every task can be harder than the work itself. The /agents panel added in Codex 0.149.0 brings the root session and subagent status into one full-screen dashboard.
Read more →I recently used Codex to fix a bug. It finished the work and the tests passed, but the diff was frustrating: it used npm in a project where everyone uses pnpm, added a dependency without asking, and wrote a commit message that ignored our repository conventions. I had to correct each issue, only to see the same mistakes on the next task. The problem was not intelligence; Codex had never been given…
Read more →Building a frontend with Codex feels smooth. Describe a page, adjust the colors, add an interaction, and a few rounds later you have a convincing interface. But making it work raises harder questions: where should user data live, how should sign-in work, and how should real-time messages be delivered? Backend selection can become the point where independent developers get stuck. Interestingly, OpenAI's official plugin…
Read more →Codex's ability to write code is familiar by now. Recently, however, I found a row of official first-party plugins in the Productivity category of OpenAI's plugin directory: Documents, Spreadsheets, Presentations, and PDF. Their simple icons and quiet presentation gave little away. After reading their descriptions, my first reaction was that these tools…
Read more →OpenAI recently released three education plugins for K–12 teachers, university instructors, and university students. They are mainly provided through institutional deployments of ChatGPT Edu and ChatGPT for Teachers. For developers, the useful signal is that OpenAI is turning effective AI use from individual prompting techniques into installable, centrally managed packages for specific roles.
Read more →After using Codex for more than half a year, I thought I knew it well. Reinstalling my environment and reading the documentation showed me how many time-saving features I had never tried. I had treated it as a chat box that writes code: send a prompt and wait for changes. Images in the terminal, current documentation from the web, and resuming earlier sessions were features I either did not know about or…
Read more →Interactive mode works well when you want to adjust a task as it progresses. Repetitive work such as checking logs, updating changelogs, or editing comments in bulk does not need someone watching a terminal. codex exec accepts a single task and exits when finished, making it usable from a shell, CI, or a scheduler.
Read more →One awkward part of using Codex is that it runs in a terminal on my computer, while I am not always there. If I think of a small change during a meeting, a commute, or time on the sofa, I usually have to wait until I return to my desk. The ChatGPT app can send Codex messages, but switching between tools feels indirect. Since my work conversations already happen in Feishu, a natural idea was…
Read more →Users of Codex, Cursor, and Gemini CLI often assume that a sandbox will contain mistakes. Even if a model behaves unexpectedly or reads malicious content, it should only affect the project directory. Recent reports challenged that assumption: sandbox escape vulnerabilities were disclosed in four major AI coding tools in the same week, with a shared…
Read more →After using Codex for a while, I had collected a set of recurring prompts. Every new Python project needed the same instructions: use uv, follow the src layout, configure ruff and pytest, and add README badges. Those lines lived in a notes app, ready to paste into each new project. When requirements changed, I had to update the prompt as well. Over time, those instructions became scattered…
Read more →I tried an experiment with a long-standing small issue: without opening an editor, I assigned work to @codex entirely through GitHub issue and pull request comments. It went further than I expected, creating a branch, writing code, opening a pull request, running CI, and even providing review comments. But the process did not run entirely without supervision…
Read more →A submitted pull request with passing CI can create a false sense that it is ready to merge. Changes that affect production may be hidden in one or two lines: a missing permission check, a migration incompatible with old data, or tests that cover only the successful path.
Read more →AGENTS.md and skills provide instructions to the model; hooks enforce decisions at runtime. Before a tool call runs, a hook can determine whether it is allowed. This is an enforcement mechanism that can reject a call, rather than a reminder. Codex hooks now support asynchronous execution and direct MCP tool calls, making their permission boundaries important to understand.
Read more →On the morning train, you open ChatGPT on your phone. A Mac at home is running a refactoring task. Codex has finished its tests, and a diff is ready for review. You approve it and assign another task: check yesterday's API error logs. The phone stays cool and uses little data because model calls, code, and terminal work remain on the home computer. The phone acts as a remote control. This is Co…
Read more →Complex work often involves refactoring, debugging, and testing at the same time. As terminal windows multiply, tasks become harder to identify, and closing the wrong window can lose context. Codex 0.146.0 introduced multiple-session management to keep several lines of work together in one terminal.
Read more →If a related requirement comes to mind while Codex is refactoring or running tests, you previously had to interrupt the turn or return after it finished. codex queue adds text messages to a session's queue: work continues after the current turn, and idle sessions can also be resumed.
Read more →Many developers know the experience of a production error arriving in the middle of the night. A Sentry issue appears with a long stack trace, and you work through the function, the triggering input, and the recent changes. By the time the context is assembled, dawn may be close. I recently tried handing the first investigation to Codex: connect it to Sentry and provide the issue link…
Read more →Codex can produce keywords, search volumes, difficulty estimates, search intent, and suggested page types within minutes. The harder part is deciding what to do with them: would customers search for these terms, should you create a product page or an article, and do similar keywords need separate pages?
Read more →If you work with Codex regularly, you may have repeated the same requirement five times: run tests before writing a commit message, use structured logs, or update the OpenAPI documentation after changing an endpoint. Each new session seems to need the same explanation again. After the tenth repetition, you start wondering who is doing the remembering…
Read more →Long coding sessions can produce an odd effect: the longer a conversation gets, the less consistent it becomes. Early work is clear and fast, but after reading the project, running tests, and analyzing logs, the agent starts forgetting requirements and giving less reliable suggestions. The model has not become less capable; its context has filled up. Two terms describe this problem: context pollution…
Read more →Installing an AI coding plugin can take a single command. Codex has a plugin marketplace, Claude Code has skills, and Cursor and Gemini have their own ecosystems. A promising plugin can quickly gain the ability to read files, execute commands, and access the network. That convenience raises a question you may have considered: what exactly has been installed…
Read more →Frontend developers know the work of translating a Figma design into a page: measuring spacing, extracting colors, checking type sizes, and writing CSS one line at a time. Each revision starts another round. Design-to-code tools have been discussed for years, but their output often fails to match a project's component library or design tokens and has to be rebuilt…
Read more →