Codex Reviews & Product Details

What I like most about Codex is that it helps us move faster in development without wasting time on repetitive tasks. We use it about four times a week among three team members to understand existing code, propose solutions, refactor, and detect errors. I find it especially useful because I can review its suggestions and adapt them to our project, instead of always starting from scratch. It has significantly improved our workflow and allows us to focus more on important decisions. Review collected by and hosted on G2.com.

What I like the least is that the first proposal is not always ready to use, and you have to review the context, make adjustments, and thoroughly validate the changes before incorporating them into the project. In complex tasks, it can also make different decisions than expected if the instruction is not very clear. I don't consider it a serious problem because human review is still necessary, but it would be useful if it understood the complete context of the repository better and showed more clearly why it proposes each change. Review collected by and hosted on G2.com.

What I like most about Codex is the speed with which it understands what I need and generates useful solutions. It helps me a lot to speed up development, especially in repetitive tasks, code generation, and error searching. Additionally, it often proposes approaches I hadn't considered, which saves me a lot of time. Overall, it's a very practical tool that allows me to focus more on business logic and less on mechanical tasks. It's really handy, to be honest. Review collected by and hosted on G2.com.

What I like least about Codex is that, at times, it generates code that seems correct at first glance but needs review before going into production. It can also lose some context in large projects or when working with very specific architectures, so sometimes you have to give it more detailed instructions. I would like it to better understand the full context of the project and for the responses to be more consistent across different sessions. Even so, the overall balance is very positive. Sometimes it gets more confused than an octopus in a garage, but it usually gets the job done. Review collected by and hosted on G2.com.

i have tried multiple AI coding platforms and codex has overall given me a better experience. initially there were some hiccups but after 5.5, the model understands the issues properly and writes code thats production grade. also the git and other integrations makes it easy to use. the UI is clean and its very easy to switch between projects. infact, you can work on multiple projects at the same time. Review collected by and hosted on G2.com.

sometimes it becomes heavy on the system and the performance drops. have not been able to figure out why this happens and the solution for it. Review collected by and hosted on G2.com.

What I like best about Codex is how effectively it understands real project context instead of just isolated code snippets. It is especially useful for debugging, refactoring, exploring unfamiliar codebases, and handling larger development tasks that require reasoning across multiple files.

One of the biggest advantages is the workflow integration. Using Codex inside tools like Cursor makes the experience much more practical because the AI can directly inspect the active project, understand surrounding architecture, and make context-aware suggestions. That is significantly more useful than copying and pasting code into a browser chat.

I also like that Codex can handle both high-level reasoning and detailed implementation work. I regularly use it to explain complex functions, generate boilerplate, troubleshoot errors, refactor existing logic, and prototype new features quickly. It reduces a lot of repetitive work and speeds up problem solving considerably.

Another thing I appreciate is that it still keeps the developer in control. Instead of blindly generating huge changes with no visibility, the workflow allows reviewing suggestions incrementally and guiding the implementation step by step. That balance between automation and developer oversight makes it much more reliable for real-world coding.

Performance is generally strong when working on normal-sized projects, and the AI responses are often detailed enough to be immediately actionable. The onboarding experience is also fairly straightforward, especially for developers already familiar with modern IDE workflows.

In terms of ROI, the biggest value comes from time saved. Tasks that would normally require digging through documentation, searching forums, or manually tracing project structure can often be solved much faster directly inside the coding environment.

One unexpected benefit has been how useful Codex is for learning. It is not just a code generator. It also acts as a strong explanation and exploration tool when working with unfamiliar frameworks, libraries, or large existing codebases.

Overall, Codex is most valuable when used as an intelligent development partner rather than a replacement for the developer. It helps accelerate coding, debugging, and learning while still allowing developers to stay fully involved in the implementation process. Review collected by and hosted on G2.com.

Honestly, I do not have many major complaints about Codex itself because the core AI capabilities are genuinely strong and very useful for real development work. Most of the issues I have experienced are more related to polish and reliability around the integrations rather than the underlying intelligence.

The main pain point has been occasional instability inside IDE integrations like Cursor. Sometimes chat sessions or extension panels fail to load properly and require restarting the editor before everything works again. It does not happen constantly, but when it does, it interrupts workflow during longer coding sessions.

There are also moments where context handling on very large projects can be inconsistent. Most of the time Codex understands architecture and surrounding files extremely well, but occasionally it misses nearby context or makes broader edits than intended. The AI is powerful, but it still benefits from clear guidance and developer oversight.

From a UI perspective, some controls around context visibility, model behavior, and usage tracking could also be more transparent. Since advanced reasoning models can consume tokens quickly, having clearer cost visibility and optimization guidance inside the workflow would be helpful.

That said, none of these issues outweigh the value the product provides for me. The actual coding, debugging, refactoring, and reasoning capabilities are strong enough that the occasional friction feels more like refinement opportunities rather than major drawbacks.

Overall, Codex already feels significantly more capable than most AI coding tools I have used. The biggest improvements I would want are better stability in IDE integrations, more predictable handling of large repositories, and slightly better transparency around usage and context management. Review collected by and hosted on G2.com.

Small, convenient IDE for agentic development. It lets you run several agents on the same project (or across different projects). You can also create skills, program “routines” (for example, reviewing changes daily), and use a lot of other helpful features. It’s powered (at least today) by what I consider the most capable LLM for coding: GPT-5.5. Review collected by and hosted on G2.com.

Agentic interaction with the computer (like Claude Cowork) is still not available in the EU zone. On top of that, some configuration settings rely on a file called config.toml, and it’s easy to “break” Codex usage if you don’t know exactly what you’re doing. Review collected by and hosted on G2.com.

I recently started using Codex for my DataWeave programming, and the results for data and field transformations across JSON, XML, and CSV files have been excellent. We also created an agent to validate our MUnit test coverage, and it was delivering close to a 100% perfect result. The best part about Codex is that it’s very easy to learn, which has helped us save a tremendous number of development hours. Review collected by and hosted on G2.com.

So far, I haven’t found any real negatives, especially considering how much development effort we’re able to save by using Codex. That said, with very large datasets and higher-complexity XML, I’ve found it can be difficult to handle because of the window limit, which can end up breaking the code (this seems like an edge-case scenario). I’ve also noticed at times that Codex suggests Salesforce Apex syntax that relies on deprecated API versions or older approaches. Review collected by and hosted on G2.com.

What I like best about Codex is that when it is available, it helps me move through coding tasks much faster. It can explain errors, suggest fixes, generate code, and help me understand what is happening in a project without having to search through everything manually. Even though I do wish the limits lasted longer, the actual quality of help is useful when I need support with development work. Review collected by and hosted on G2.com.

What I dislike about Codex is that the usage limits can be reached too quickly even on Plus, especially when I am working on a longer coding task or trying to debug multiple issues. It can interrupt my workflow right when I am making progress, which makes it harder to rely on consistently for bigger development projects. Review collected by and hosted on G2.com.

Codex is tool for developers to build fully-functioning applications. It is highly intelligent and fast, and capable of building even the most demanding apps. Review collected by and hosted on G2.com.

Honestly, there isn't anything I dislike about it. The only thing I wish was included is a notification sound that lets the user know when his input is required. The user might be focused on something else as codex works. If the user is needed to make a decision there's no notification sound that plays to bring back the user's attention. Review collected by and hosted on G2.com.

What I like best about Codex is the speed and execution quality. It is very good at turning rough ideas into working implementations quickly, especially during rapid prototyping and product development. I also like how well it integrates with real development workflows like VSCode, and terminals. Review collected by and hosted on G2.com.

What I dislike most about Codex is that it can sometimes struggle with deeper or more abstract reasoning tasks, especially when requirements are ambiguous or highly strategic. It is excellent at execution and implementation speed, but for complex architectural thinking or nuanced decision-making, it occasionally needs more guidance and iteration than expected. Review collected by and hosted on G2.com.

is its aggressive , autonomous task completion. it executes the task-to-end whiteout constant friction. It's incredibly fast and efficient for bulk mechanical task Review collected by and hosted on G2.com.

Codex occasionally suffers from runaway execution, if you describe a feature, it sometime starts writing and modifying files immediately before fully aligning on the architecture. Review collected by and hosted on G2.com.