Do AI Coding Assistants Reuse Your Prompts and Code? Privacy Concerns Explained

Mar 15, 2026

I was about to paste a chunk of my company’s proprietary authentication code into an AI coding assistant when I stopped. What happens to this code after I hit send?

Does it get stored? Used for training? Could my carefully crafted security logic end up in someone else’s code suggestions?

These questions aren’t paranoia - they’re due diligence. And the answers vary wildly between AI coding tools.

The Privacy Question Nobody Wants to Answer

When Magnus114 commented on the OpenCode Go announcement, their top concern wasn’t features or pricing:

“I will not use opencode go before they openly state… Privacy policy”

Another user, ResilientSpider, asked directly:

“Do they re-use the prompts and answer we send?”

These aren’t edge cases. In a thread about pricing and features, privacy concerns became the most upvoted comments. Developers are paying attention.

What Actually Happens to Your Code

Let me break down the typical data flow when you use an AI coding assistant:

Your IDE/CLI
    |
    v
[Code/Prompt Sent] -----> AI Provider Servers
    |                           |
    |                           v
    |                    [Processed by LLM]
    |                           |
    |                           v
    |                    [Response Generated]
    |                           |
    |                    [Data Stored?]
    |                           |
    |                    [Used for Training?]
    |                           |
    <-------- [Response Returned]

The key questions are what happens at those two decision points: Data Stored? and Used for Training?

The Privacy Spectrum: From Local to Cloud

Not all AI tools handle your data the same way. Here’s the spectrum:

+------------------+-------------------+-----------------+
| Tool Type        | Data Leaves       | Training Risk   |
|                  | Your Machine?     |                 |
+------------------+-------------------+-----------------+
| Fully Local      | No                | None            |
| (Aider + local)  |                   |                 |
+------------------+-------------------+-----------------+
| BYOK Mode        | Yes, to your      | Your API terms  |
| (OpenCode free)  | chosen provider   |                 |
+------------------+-------------------+-----------------+
| Cloud Tier       | Yes, to vendor    | Check policy    |
| (Copilot, etc.)  | servers           |                 |
+------------------+-------------------+-----------------+

The more control you give up, the more you need to trust the provider.

Privacy Policies Compared

I looked up the privacy policies for major AI coding assistants. Here’s what I found:

+-------------------+------------------+-------------------+------------------+
| Tool              | Default Policy   | Enterprise/Pro    | Self-Hosted      |
|                   |                  | Policy            | Option           |
+-------------------+------------------+-------------------+------------------+
| GitHub Copilot    | Code snippets    | Business tier:    | No               |
|                   | may train models | No training on    |                  |
|                   |                  | code              |                  |
+-------------------+------------------+-------------------+------------------+
| Cursor            | Code sent to     | Enterprise:       | No               |
|                   | Anthropic/OpenAI | SOC 2, no train   |                  |
+-------------------+------------------+-------------------+------------------+
| OpenCode          | Policy unclear   | Awaiting public   | Yes (BYOK mode)  |
|                   | (Mar 2026)       | statement         |                  |
+-------------------+------------------+-------------------+------------------+
| Windsurf          | Code sent to     | Enterprise        | No               |
|                   | external LLMs    | options available |                  |
+-------------------+------------------+-------------------+------------------+
| Aider             | Depends on       | N/A               | Yes (fully      |
|                   | your LLM choice  |                   | local possible)  |
+-------------------+------------------+-------------------+------------------+

Notice how OpenCode’s row has gaps? That’s the problem. When users ask “Do they re-use prompts?” and there’s no public answer, trust erodes.

Red Flags in Privacy Policies

When reading a privacy policy, watch for these warning signs:

Vague Language:
  "We may use data to improve our services"
  -> This usually means training without opt-out

Hidden Terms:
  "Anonymized data" without defining anonymization
  -> Your code patterns might still be extractable

Missing Details:
  No data retention timeline mentioned
  -> Could be stored forever

Unclear Subprocessors:
  No mention of third-party processors
  -> Your code might go to multiple companies

A good privacy policy should answer these questions directly:

1. How long is my code stored?
2. Is my code used for model training?
3. Can I opt out of training?
4. Who are your subprocessors?
5. What certifications do you have? (SOC 2, ISO 27001)
6. Can I delete my data?

Why This Actually Matters

I’ve seen developers brush off privacy concerns with “I don’t work on anything sensitive.” But consider these scenarios:

Career Risk: Your employment contract probably prohibits sharing proprietary code externally. Using an AI tool that trains on your code could technically be a violation.

Legal Liability: If you work in finance, healthcare, or government, data handling regulations may prohibit sending code to third parties without explicit agreements.

Competitive Intelligence: Your unique algorithms could leak patterns to competitors. Not your exact code, but architectural patterns and solutions.

Client Trust: Clients expect their code to remain confidential. Would they be comfortable knowing their code was processed by an AI training pipeline?

What I Check Before Using Any AI Coding Tool

Before I paste code into any AI assistant, I run through this checklist:

[ ] Privacy policy explicitly states NO training on user code
[ ] Data retention period is defined (preferably zero)
[ ] Third-party subprocessors are disclosed
[ ] Security certifications exist (SOC 2, etc.)
[ ] Enterprise tier offers stronger guarantees
[ ] Option to self-host or use BYOK if needed

For OpenCode specifically, the free tier with BYOK (Bring Your Own Keys) is the safest option until they publish a clear privacy policy. You connect your own Anthropic or OpenAI API key, and the privacy terms are between you and that provider.

The Business Case for Privacy Transparency

Here’s what’s ironic: developers are willing to pay more for privacy. The Reddit thread showed users asking for transparency before they’d even consider paying.

Low Transparency + Low Price  = Skepticism (What am I really getting?)
High Transparency + Low Price = Trust (Good value proposition)
Low Transparency + High Price = Avoidance (Not worth the risk)
High Transparency + High Price = Acceptance (Premium for security)

OpenCode Go at $5-10/month could be a great deal. But without transparency, that low price raises more questions than it answers.

Practical Steps You Can Take Today

Audit your current tools: Check what AI coding assistants you use and read their privacy policies.
Use BYOK when possible: OpenCode’s free tier, Cursor’s API key mode, and Aider all let you control where your code goes.
Never paste sensitive code: API keys, passwords, proprietary algorithms - these should never leave your machine.
Check enterprise tiers: If your company pays, you probably get better privacy protections than personal accounts.
Ask before you pay: If a tool’s privacy policy is unclear, ask support directly before subscribing.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!