Chat GPT Co-Pilot in Agent-mode (in VSCode) constantly need to be told to actually implement stuff
By Holidays in Europe / December 22, 2025 / No Comments / Uncategorized
Optimizing ChatGPT Co-Pilot in VSCode: Challenges with Agent-Mode Implementation
As developers increasingly integrate AI tools like ChatGPT into their workflows, many rely on these assistants to streamline coding tasks within environments like Visual Studio Code. However, recent experiences have highlighted some limitations in the current implementation of ChatGPT’s agent-mode functionality, especially when it comes to executing code modifications directly.
Recent updates to ChatGPT, specifically versions 5.1 and 5.2, have shifted the behavior of the AI from actively making edits to primarily providing instructions or suggested actions within the code. For example, a simple request such as “Add a Heading 2 titled ‘Introduction'” used to result in the assistant making the change directly. However, now the tool often responds with a plan or a set of instructions rather than executing the change immediately.
This subtle yet impactful change means that users must often submit additional prompts to instruct the AI to carry out the intended modifications. For instance, specifying “Implement this” might still only generate a list of steps rather than performing the change outright. As a result, the workflow can become more cumbersome, requiring extra prompts and reducing efficiency.
In my experience, alternative tools such as Gemini 3 Pro deliver more consistent performance in this regard, executing code edits as expected without the additional prompting. This highlights the need for ongoing refinement and improvement in ChatGPT’s agent-mode to better serve development workflows.
Developers and AI tool providers should consider addressing these usability issues to ensure seamless integration, allowing AI assistants to act decisively and reduce redundant prompts. Enhancing the agent’s ability to implement changes promptly will significantly improve productivity and workflow satisfaction.
In summary, while ChatGPT’s co-pilot feature remains a powerful tool, recent behavior changes underline the importance of continuous updates and user-centric improvements. As the technology evolves, we anticipate more intuitive, action-oriented AI assistants that truly act as co-pilots rather than mere advisors in coding environments.
Tags: AI, ChatGPT, Visual Studio Code, Developer Tools, Workflow Optimization