gitmap-pipeline-waiting-prompts

Run `gitmap pipeline-ai status --json` (or the alias `gitmap pl-ai status --json`) to query remote pipeline status. The JSON output includes is_running, etaSeconds, and nextAiCommand fields that tell you whether the pipeline is still executing and when it should finish.

Avoid tight polling loops like repeated `gh run view` calls. Instead, query the pipeline ETA once and sleep based on it: 20-30 seconds when ETA exceeds 120s, 10-20 seconds for 60-120s, and 5-10 seconds when under 60 seconds remain.

Yes, gitmap pipeline-ai isolates actionable failure lines such as `##[error]`, `FAIL:`, and compile errors from pipeline logs. This lets you perform root cause analysis without reading through noisy logs from passing steps.

It is an adaptive waiting strategy where the agent sleeps for the pipeline's estimated completion duration using `gitmap pipeline-ai status -t <etaSeconds>`, or applies tiered wait intervals derived from the ETA, instead of busy-polling in a loop.

ETA-based waiting is designed for running pipelines with a reported estimate. If the pipeline is not running or no ETA is available, there is nothing to wait for, so proceed directly to error extraction and diagnosis instead of sleeping.