Sift, a small CLI that groups noisy test failures into root causes
Compresses 198k tokens to 129 by grouping test failures before the agent sees them.
Turn noisy command output into a short, actionable first pass for coding agents.
198k tokens down to 129 — local heuristics beat LLM summarization.
Developers using AI coding agents who waste tokens on verbose test output
JinaAI Reader · Firecrawl · log summarization tools
Compresses 198k tokens to 129 by grouping test failures before the agent sees them.
Heuristic-first parsing cuts 198K tokens to 129 before the LLM ever sees output.
Claude diagnoses pipeline failures in seconds, but log analysis tools already exist.
Kubernetes root cause via dependency graphs, but kubectl debug and observability tools already solve this.
Auto-clusters failure patterns across sessions and suggests prompt patches.
Filters BeanCreationException noise from 15,000-line Spring Boot CI logs automatically.