A common misconception is that simply using Cursor guarantees a complete audit trail of every prompt and response. In reality, Cursor runs as a local process and no built‑in session recording captures the full interaction for later review. Without an external recorder, teams cannot prove what code was generated, when, or by whom, leaving compliance, debugging, and forensic analysis vulnerable.
What most engineers do today is grant a service account or personal token to the Cursor client, let it talk directly to the LLM backend, and trust that the generated snippets are correct. The connection is a straight pipe: identity verification happens at the client, the request reaches the LLM, and the response streams back. No standing audit log, no replay capability, and no way to retroactively mask sensitive secrets that may have been echoed in the output.
Why session recording matters for Cursor
Session recording provides a reliable audit trail of every exchange between a developer and the AI coding assistant. It enables:
- Post‑mortem debugging when generated code introduces bugs or security regressions.
- Compliance evidence for standards that require proof of who generated what code and when.
- Risk mitigation by allowing security teams to review potentially sensitive data that the model may have emitted.
These outcomes cannot be achieved by adjusting OIDC scopes, tightening IAM policies, or rotating service‑account secrets. The missing piece is a control point that sits on the data path and can observe, store, and later replay the traffic.
Where to place the recording control
The only reliable place to enforce session recording is the gateway that proxies the Cursor connection. The gateway sits between the user (or automation) and the LLM endpoint, intercepting the wire‑level protocol. By operating at Layer 7, it can see the exact request payloads and response bodies without requiring any changes to the Cursor client code.
Identity handling, OIDC or SAML verification, still occurs before the gateway lets a request through, but the gateway is the sole component that can apply a recording policy. This separation respects the principle that setup (authentication, token issuance) decides *who* may start a session, while the data path decides *what* happens to the session data.
How hoop.dev inserts itself on the Cursor data path
hoop.dev is a Layer 7 identity‑aware proxy that can front any TCP‑based service, including the HTTP endpoint used by Cursor. Deploy the hoop.dev gateway inside the same network segment where the Cursor client runs. The gateway runs an agent that holds the credential used to talk to the LLM service, so the client never sees the secret.
When a developer launches Cursor, the client is configured to point at the hoop.dev endpoint instead of the raw LLM URL. The request flows to hoop.dev, which validates the user’s OIDC token, extracts group membership, and then forwards the request to the actual LLM. At this point hoop.dev records the entire request and response stream, storing a replayable artifact that can be inspected later.
What hoop.dev records and how it helps
hoop.dev records each session as a separate artifact. The recorded data includes:
- The exact prompt sent to the LLM, including any code snippets or context the developer supplied.
- The full response payload, which may contain generated code, explanations, or even inadvertently leaked secrets.
- Metadata such as timestamp, user identity, and the originating client IP.
Because the recording happens in the gateway, the recorded artifact is independent of the client’s local environment. This means that even if a developer’s workstation is compromised or the local log is deleted, the organization retains a complete audit trail.
Key enforcement outcomes
All of the following outcomes exist only because hoop.dev occupies the data path:
- Session replay: Security analysts can replay a captured interaction in a sandbox to see exactly what code was produced.
- Audit evidence: Auditors receive a verifiable log that ties each generated artifact to a specific user identity.
- Risk containment: If a response contains a secret, the organization can apply downstream masking policies on the recorded artifact without exposing the secret to the client.
Getting started with hoop.dev and Cursor
To add session recording to Cursor, follow the high‑level steps below. The detailed walkthrough lives in the official documentation, so you can focus on policy rather than plumbing.
- Deploy the hoop.dev gateway using the Docker Compose quick‑start. The compose file pulls the latest open‑source image and starts the agent alongside the proxy.
- Register a new connection for the Cursor LLM endpoint. During registration you supply the target host, port, and the service credential that hoop.dev will use to authenticate to the LLM.
- Configure the Cursor client to point at the hoop.dev endpoint instead of the raw LLM URL. The client continues to use its standard CLI arguments; the only change is the target address.
- Enable the session‑recording guardrail in the hoop.dev configuration. This tells the gateway to persist every request/response pair.
- Verify the setup by running a test prompt. The UI in the hoop.dev dashboard will show a new session entry that can be replayed on demand.
The getting‑started guide walks you through each of these steps with screenshots and exact configuration values. For deeper insight into guardrails, masking, and replay, see the learn section of the website.
FAQ
Does session recording add latency to Cursor interactions?
Because hoop.dev records at the protocol layer, the additional overhead is limited to the time required to write the stream to storage. In typical deployments this adds only a few milliseconds, well within the interactive expectations of a coding assistant.
Can I selectively mask secrets in the recorded sessions?
Yes. hoop.dev supports inline masking policies that can redact or replace sensitive fields before they are persisted. This ensures that the audit log does not become a source of credential leakage.
Where are the recorded sessions stored?
hoop.dev stores each session as an artifact that you can retain according to your organization’s retention policy. The platform does not prescribe a particular storage mechanism, leaving the choice to your existing infrastructure.
By placing session recording in the data path with hoop.dev, organizations gain a trustworthy, replayable history of every Cursor interaction without modifying the client or sacrificing developer velocity.
Explore the open‑source repository on GitHub to get the code, contribute, or customize the gateway for your environment.
