I Audited 3 AI Coding Tools for Privacy — The Difference Is 100x
Dev.to / 6/18/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- The author audited three AI coding tools (Claude Code, Cursor, and Cline) to compare how they store conversation history and credentials for privacy risks.
- The audit found that none of the tools clearly informs users that conversations may be silently archived, despite significant local storage footprints and sensitive content.
- Claude Code was found to store large amounts of conversation data globally in JSONL files, including AI responses, internal thinking, tool calls, tool results, and file-history snapshots, while storing credentials in plaintext settings.json.
- Cursor was found to store detailed agent transcripts (user inputs and AI responses) in JSONL and to store tokens in an encrypted/better-than-plaintext way via SQLite, though it still preserves substantial conversation records.
- Overall, the results suggest that practical privacy differences between tools can be orders of magnitude, making transparent disclosure and data handling policies critical for users.
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