Code Agents Job Support — CodeAgent, Sandboxed Execution & Guardrails

We provide hands-on, real-time code agents proxy job support on your actual project tickets. We help build and safely operate smolagents CodeAgent — tool design, error recovery, limits, and sandboxed execution. This page is part of our Hugging Face proxy job support ecosystem: our experts help with architecture and implementation, environment and dependency setup, debugging, code review, performance/GPU-memory tuning, and production issues — during your working hours, same-day. "Proxy" means expert technical support and mentoring on your real deliverables, not replacing you or performing your job duties.

Typical code agents production issues we resolve include CUDA out-of-memory and GPU-memory pressure, dependency and version conflicts (Transformers/PyTorch/CUDA), dtype and precision mismatches, slow throughput or latency, checkpoint and safetensors loading errors, and integration failures with upstream and downstream systems. We help you find the root cause from stack traces, logs, and profiling, then ship a stable fix.

Yes. We provide code agents proxy interview support (also searched as code agents interview proxy support) — real-time expert help on fundamentals, architecture and design trade-offs, scenario-based problems, and hands-on coding rounds — calibrated to the exact role and company format. Proxy interview support means real-time technical help on the exact areas your interview covers; you attend and complete your own interview.

Yes. Onboarding onto an unfamiliar code agents setup is one of the most common reasons people reach out. We help you understand the existing model and data pipeline, the training and serving architecture, and the repository structure, get productive fast, deliver your first tasks confidently, and avoid the mistakes that get flagged in reviews and standups.

Contact us on WhatsApp with your stack, the problem, and your timeline. We assign the right expert — usually same-day. Every engagement is fully confidential, and NDAs are available on request.

Because code is a more expressive action space — one code block can call several tools, loop, do arithmetic, and handle intermediate results, whereas tool-calling emits one structured call at a time. For multi-step, computational tasks this reduces round-trips and errors. The trade-off is that code must be sandboxed. We help you use CodeAgent where it wins and ToolCallingAgent where predictability matters more.

Sandbox execution (E2B/Modal/Docker), restrict network and filesystem, allow-list only the tools and packages it needs, cap steps/time/tokens, and log every action for inspection. We set up these guardrails so the agent is useful without being dangerous.