AI
How to Run Claude Code Agents for 24+ Hours
Developer Eivind Kjosbakken outlines techniques to run Claude Code and Codex agents continuously for over 24 hours to bypass human review bottlenecks.
Key takeaways
- Human review is the current bottleneck in programming, making long-running autonomous agents necessary.
- The latest Claude Fable and GPT-5.6 models are increasingly capable of running for longer periods.
- Coding agents should be run in sandbox mode to prevent accidental deletion of files outside their workspace.
- Agents can verify design implementations by taking and comparing screenshots of the design and their own code in Chrome.
- Codex is the best review agent and can automatically review code when tagged in a GitHub PR or triggered via CLI.
Developer Eivind Kjosbakken outlines techniques to run Claude Code and Codex agents continuously for over 24 hours to bypass human review bottlenecks. Key strategies include granting full permissions via auto-mode, running agents in sandboxes to protect local workspaces, instructing agents to verify their own work using browser screenshots or test suites, and running agents remotely in the cloud to avoid local computer sleep interruptions.
In their words
“the coding agents have become so good at reviewing code that they basically eliminate all bugs caused by new code being pushed into production.”
By the numbers
- 24+ hours
- Target duration for running Claude code agents continuously
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Common questions
- What happened with Claude Code?
- The latest Claude Fable and GPT-5.6 models are increasingly capable of running for longer periods.
- Where can I read the original report?
- Read the full report at towards_data_science.
