predictive-debugger
Related Servers
Alternatives to predictive-debugger
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceProvides structured semantic context for JavaScript/TypeScript codebases, enabling coding agents to navigate, review, and change code with explicit uncertainty.18 npm1MIT
- AlicenseAqualityBmaintenanceProvides AI coding agents with reliable root-cause diagnosis and minimal, high-confidence fixes for failing tests.31MIT
- FlicenseAqualityDmaintenanceEnables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.9-
- FlicenseNot gradedqualityBmaintenanceEnables AI-powered code review and analysis of asynchronous JavaScript/TypeScript control flow, identifying unawaited promises and race conditions through AST taint-flow tracing and ESLint-style audits within MCP-compliant clients.8-
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to verify, compare, and safely upgrade npm packages by scoring packages from public signals and sandboxed co-installation, detecting breaking API surface changes, and rewriting code that upgrades break.188 npm8MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents to analyze codebase behavior through entrypoints, call paths, and tests, providing impact analysis and context packs for code changes.MIT
TDQS
Scored across 6 tools
Most tools have clearly distinct scopes: dependencies, single-file metrics, project-wide ranking, log anomaly detection, provider diagnostics, and model-backed failure prediction. The only minor overlap is between analyze_file and scan_project (both assess risk, but at different granularities) and predict_failures (which uses a model for verdicts).
All six tools follow the same verb_noun snake_case pattern: map_dependencies, analyze_file, list_providers, scan_project, analyze_logs, predict_failures. No mixed conventions, aliases, or inconsistent verb choices.
Six tools is a well-scoped size for a predictive debugger. Each tool covers a distinct part of the workflow (dependency mapping, file analysis, project scanning, log analysis, provider setup, and failure prediction) without bloat or redundancy.
The tool surface covers the full predictive debugging workflow: scan to find risky files, analyze individual file risk, map dependencies for context, read logs for runtime anomalies, and get model-backed failure predictions. Minor gaps exist—no tool to directly inspect test coverage or historical failures—but these are workable around.