ChatGPT
OpenAI's chat assistant, widely used to write, explain and debug code, with file uploads and a canvas for editing code.
- Free plan or free version
General chat assistants are often the first AI tool a developer uses for code. You paste in an error, a function or a log and ask what is wrong, or describe what you need and get a draft. ChatGPT, Claude, Gemini, Le Chat and DeepSeek all handle this well for many languages, and several let you upload files or work in a side panel where code can be edited and rerun.
They are best for questions that do not need your whole codebase: learning an API, comparing approaches, writing a script, translating code between languages or drafting a regular expression. They are weaker when the answer depends on code they cannot see, which is where IDE assistants and agents with repository access do better.
The main thing to manage is what you paste. Company code, customer data, keys and internal URLs should not go into a consumer chat account. Check whether your company has an approved business plan with data protections, what the retention and training settings are, and whether an assistant connected to your repository through an approved tool would be a better fit.
Also remember that answers can be confidently wrong. Run the code, read the docs for any API it suggests, and be wary of package names you have never heard of, since a made-up package name is an easy way to install something malicious.
What a featured listing costs ยท from $99 a month
OpenAI's chat assistant, widely used to write, explain and debug code, with file uploads and a canvas for editing code.
Anthropic's assistant, often used for reading long code files, explaining codebases and drafting code in artifacts.
Google's chat assistant, with a large context window for pasting in big files and a canvas for writing code.
Mistral AI's chat assistant, from the company that also publishes Codestral and other code models.
Chat assistant from DeepSeek, whose openly released models are also popular for coding.
A good habit is to give the assistant enough context to answer well without giving it more than it needs. Share the error message, the relevant function and the versions of the language and libraries you use. Leave out unrelated files, secrets and data. Answers improve sharply when the assistant knows your exact environment.
For repeated work, save the prompts that work for your team, such as a checklist for reviewing a migration or a template for writing tests, so everyone gets consistent results instead of starting from scratch each time.
Check the limits of the plan you use. Free tiers cap how many messages or how much file content you can send, and long code files can hit those caps quickly. Paid plans usually add larger limits, stronger models and data protections suited to work use. Teams sometimes find that a shared business plan with clear rules is safer and cheaper than many personal subscriptions paid on expense reports.
Only within your company's rules. Many companies allow approved business plans with training turned off and block personal accounts. Never paste secrets, keys or customer data.
We do not rank tools. Strengths change with each model release, so try two or three on your own tasks and keep the one that gets your languages and frameworks right most often.
Models sometimes invent plausible names. Check that any suggested package exists, is maintained and is the one you expect before installing it, since attackers register lookalike names.
When the answer depends on your codebase. IDE assistants and agents can read your files directly, which avoids copying code back and forth and gives better answers about your own project.