Lumina
Powered by IBM Bob 2.0 Code Intelligence

Lumina: Autonomous
Incident Triage & Dynamic
Circuit Visualizer

Lumina ingests repositories and incident logs, builds real dependency graphs from source code imports, correlates stack traces to actual files and lines, and generates code-aware remediation recommendations based on the affected source context.

2.5 hrsAvg Investigation Time
→
Secondsto Root Cause Discovery

Accelerate incident diagnosis through repository-aware dependency analysis and source-code correlation.

The Problem & Solution

Why Traditional Triage Fails — and How Lumina Fixes It

Before Lumina

The Manual Bottleneck Today

  • High Mean-Time-to-Resolution

    Engineers spend 2–3 hours per incident manually hunting through thousands of log lines.

  • Log Hunting Fatigue

    Sifting raw stack traces across distributed services burns cognitive bandwidth and creates alert fatigue.

  • Context-Window Bloat

    Feeding entire codebases into a single LLM context wastes tokens and degrades response quality.

  • Static CI/CD Limitations

    Pipeline checks run fixed scripts — unable to adapt to novel error patterns or dynamic dependency chains.

Avg. resolution time2.5 hours

After Lumina

The Lumina Autonomous Workflow

  • Repository-Aware Log Analysis

    Lumina correlates stack traces directly against uploaded repositories to identify real fault locations and dependency paths.

  • Dependency Graph Construction

    Import relationships are extracted from source code to build a navigable dependency graph of the affected application.

  • Source-Code Correlation

    Every stack trace frame is mapped back to actual files, line numbers, and code surrounding the failure.

  • Code-Aware Remediation

    Patch recommendations are generated from the actual source context instead of static error templates.

Avg. resolution timeseconds

Interactive Control Center

Live Triage Dashboard

Ingest a repository and an incident log. Lumina builds a real dependency graph, traces fault origins to specific files and lines, and generates context-aware remediation recommendations from the affected source code.

GitHub Repository

Local Folder Upload

Preset Repository

Incident Log Ingestion

Drop .log / .txt here, or click to upload
Supported languages: Python · JavaScript · TypeScript · Go · JavaStack traces are parsed for all five. Import edges require source content (local folder upload).
Awaiting input…

AST Dependency Graph

0 nodes

Load a repository to build the
dependency graph.

Incident Analysis Report

Upload an incident log to generate
an autonomous analysis report.

Git Diff Inspector

Patch diff will appear here
after log analysis.

Powered By

IBM Bob 2.0 Feature Stack

Lumina is architected around four core IBM Bob 2.0 capabilities, each handling a distinct phase of the autonomous triage pipeline.

Ingestion

Repository Intelligence

Repository source files are ingested and indexed so incidents can be correlated directly to files, imports, and code relationships.

  • GitHub repository ingestion
  • Local project folder ingestion
  • Source file indexing
Planning

Dependency Analysis

Lumina analyzes imports and references to construct a dependency graph based on actual source-code relationships.

  • Import analysis
  • Dependency graph generation
  • Fault-path visualization
Execution

Incident Correlation

Stack traces are matched directly against repository files, allowing rapid root-cause localization.

  • Multi-language stack trace parsing
  • File and line correlation
  • Dependency chain identification
Verification

Code-Aware Remediation

Recommended fixes are generated from the actual source context surrounding the fault, rather than from static error templates.

  • Context-aware diff generation
  • Source-code classification
  • Root-cause recommendations

Quantified ROI

Impact Metrics

Measured across autonomous triage runs on production-scale microservice repositories.

Repo

Repository-Aware

Maps stack traces directly to source files, lines, and dependencies

AST

Graph Construction

Builds dependency relationships from actual import analysis

Code

Context-Aware

Remediation recommendations generated from real source context