When an AI coding agent such as Devin creates resources, runs queries, and pushes code without any trace, a single mistake can expose data, corrupt services, or inflate cloud bills, and investigators are left to guess what happened. Without session recording, teams cannot reconstruct what Devin did, making root‑cause analysis and compliance reporting nearly impossible.
Teams often give Devin a static AWS credential that carries broad privileges. Because the agent connects directly to the target service, every command bypasses central oversight and leaves no detailed audit of the exact statements or files transferred.
Adding federated identity and narrowly scoped IAM roles limits what Devin can request, but the request still reaches the resource unchanged. Without a proxy that inspects traffic, there is no built‑in way to capture a complete session recording, mask secrets, or enforce approval steps.
Why session recording is essential for AI coding agents
Session recording provides an immutable replay of every request and response that an autonomous agent sends to a backend system. Developers and security teams can reconstruct the exact sequence of API calls, SQL statements, or shell commands that led to a particular state change. The ability to replay an interaction helps isolate bugs, verify that the agent behaved as intended, and demonstrate to auditors that privileged actions were observed and reviewed.
Beyond troubleshooting, session recording limits the blast radius of a compromised agent. If an attacker hijacks Devin’s credentials, the recorded stream reveals the commands issued before the breach was detected, enabling rapid containment. It also deters malicious behavior because every action is known to be captured.
hoop.dev as the data‑path gateway
hoop.dev deploys as a Layer 7 gateway that sits between Devin’s identity token and the AWS resources it needs to reach. The gateway runs a network‑resident agent close to the target services, holds the service credentials, and proxies all traffic. Identity still verifies via OIDC or SAML, but the request never goes directly to the resource; it must pass through hoop.dev first.
Because hoop.dev is the only point where the protocol payload is visible, it can enforce policies that would be impossible for the agent or the target to apply on their own. This placement makes hoop.dev the sole mechanism that guarantees a session recording for every interaction.
How hoop.dev captures every interaction
When Devin initiates a connection, hoop.dev intercepts each request, writes the command and its parameters to a secure log, forwards the request to the AWS service, receives the response, and records that response as well. The resulting log forms a complete, time‑ordered session that you can replay in a sandbox for forensic analysis. Because the gateway owns the credential, the agent never sees the secret, and the recorded session cannot be tampered with by the downstream service.
Benefits beyond compliance
- Instant auditability – security reviewers can query the logs for any user, time range, or operation.
- Forensic replay – engineers can reproduce the exact state changes in a test environment.
- Real‑time masking – sensitive fields such as passwords or tokens are redacted before they are stored.
- Just‑in‑time approval – risky commands can pause for manual approval before execution.
Getting started with session recording for Devin
Begin by following the getting started guide to deploy the hoop.dev gateway in your environment. Register the AWS resources that Devin needs to access, and configure the connection with the appropriate IAM role. Enable the session‑recording feature in the gateway’s policy configuration, and bind Devin’s OIDC service account to the connection. Once deployed, every request Devin makes flows through hoop.dev, where it records, masks, and, if desired, routes through an approval workflow.
For deeper insight into the feature set, explore the learn page, which details how session recording integrates with other guardrails such as inline masking and just‑in‑time access.
FAQ
hoop.dev records the payloads at the protocol layer and writes them to an append‑only log. The overhead is minimal compared to the latency of the underlying AWS service, and you can scale the gateway horizontally to handle higher request volumes.
Can I limit how long session recordings are retained?
You configure retention policies on the storage backend that holds the logs. hoop.dev automatically purges records older than the window you define, matching your organization’s compliance requirements.
Is the recorded data encrypted?
hoop.dev writes all logs to storage using TLS in transit, and you can enable encryption‑at‑rest on the storage backend to protect the recorded sessions.
Explore the open‑source repository on GitHub to get the code, contribute improvements, and see the full set of configuration options: hoop.dev on GitHub.
