Cloud coding helpers often train on repos you did not mean to donate. A leaked internal API shape is expensive.

Venice does not use what you type to train AI models. Venice does not save your chats on its computers. Your snippet sits in your browser until you copy it into git.

GLM 5.2 is the private default for first drafts of code. Claude is stronger at refactors if you accept that Anthropic will see the code.

Grok 4.7 can hold a very large project in one thread, with function calling and structured output. It is pay as you go in Classic Chat and needs an account.

Venice's API can talk like OpenAI's if you want the same AI models in an editor. API access needs an account. See docs.venice.ai.

Free text and code prompting is 10 requests per day. A debugging session will eat that. Pro at $18 a month is the practical coding tier.

• Say the language, the runtime, and the version first. “Python” is not enough. For example, “Python 3.12, no extra packages” is.

• Paste the error, the few functions that matter, and what you already tried. AI models love rewriting working code if you leave out the failure.

• Ask for a small change, not a whole new file, when you are in an existing repo. Full-file dumps hide the one-line fix.

• Tell it not to invent APIs. It should use only modules you name. If it needs a library, it must say so before writing imports.

• Ask for tests next to the change. Then run them. Tests that only check the happy path are decoration.

• For servers and cloud setup, paste the current config. “Write me new infrastructure” with no limits will invent a second stack.

• Never paste production secrets into any AI model, including ones you use on Venice. Hide tokens. Rotate anything that has already been in a prompt.

• If you switch to Claude mid-thread, Anthropic receives that session's code. Start a new private thread for the sensitive module.

• Read licenses. The AI model will not warn you that a snippet looks copied from software with strict sharing rules.

• You still ship the bug. Treat Venice as a fast junior pair, not as a test suite.

• If the project has automatic style checks, name them in the prompt. Generated code that fails those checks is not a save.

• Ask how slow the code will be if it looks nested and heavy. AI models will write nested loops and call it fine.

• If the snippet touches login or keys, add: no logging of tokens, no examples with real keys. Then search the output.

• Turn the new helper on with a switch you can flip off. Generated helpers are easy to merge and hard to unwind.

• Paste the test command you will run. If the AI model cannot name that command in the reply, the snippet is not wired into your repo.

• Comment only the surprising bits. A comment on every line slows reviews.