CODE AGENT FOR AI INFRA ENGINEERS

Debug the systems
behind the model.

Trace production failures across code, Kubernetes, logs, schedulers, distributed runtimes, and accelerators with the model you already trust.

Download for macOS Apple Silicon · Free to start
production-debug
volcano vllm cluster / read-only
Why is the inference workload stuck before engine startup?
01Reading PodGroup and scheduler eventsdone
02Tracing deployer → engine configdone
03Checking TP / DP validation constraintsrunning
LIKELY ROOT CAUSE Generated tensor-parallel size conflicts with the visible accelerator topology. parallel_config.py:184
CODEKUBERNETESLOGS CONFIGEXPERT KNOWLEDGE

WHY ANOTHER CODE AGENT?

General code intelligence.
AI Infra instincts.

01

Bring any model

Use DeepSeek, OpenAI, GLM, Kimi, or an OpenAI-compatible endpoint. CoDebugger adds the debugging system around it.

02

Follow runtime evidence

Correlate selected repositories with read-only Kubernetes state, component logs, CRDs, events, and exact code paths.

03

Start with domain context

Skip generic codebase exploration. Architecture maps and validation rules direct the agent to the decisive components first.

One failed GPU hour is expensive.

One known failure pattern
is reusable forever.

KB

FIELD-TESTED KNOWLEDGE

Hard-won incidents, compressed into signal.

CoDebugger’s AI Infra knowledge is curated from real failures handled by frontline engineers: scheduler predicates, distributed topology constraints, operator reconciliation, NCCL/HCCL communication, inference engine startup, and accelerator runtime failure modes.

  • Architecture and component relationships
  • High-value logs, resources, and code paths
  • Deterministic configuration validation rules
  • Regularly refreshed production failure patterns

A CONTROLLED DEBUG LOOP

Evidence first.
Diagnosis second.

01

Select scope

Choose one or more local repositories and the exact Git branches.

02

Connect evidence

Optionally connect a cluster with an enforced read-only Kubernetes toolset.

03

Trace the failure

The agent searches code, reads files and logs, and validates configuration assumptions.

04

Act with confidence

Get a structured root cause, confirmed evidence, code locations, and next checks.

STOP DEBUGGING AI INFRA FROM SCRATCH

Turn expensive incidents
into reusable knowledge.

Download CoDebugger