Noisy by Default
Hand-written logs clutter business logic, slow comprehension, and consume valuable AI context window.
AI-Ready Runtime Observability
Code Is the Log.
NarrativeTrace turns runtime execution into readable narratives for developers and higher-signal context for AI agents.
Free library for core tracing. Upgrade only when you need AI integration and advanced governance.
Trusted by engineering teams
Production usage references
Open-source adoption signal
Runtime narrative examples
Proof target template: X% fewer logging lines -> Y% more AI context budget for business logic
Traditional Logging Breaks at AI Scale
Flat Output
Log streams make it hard to reconstruct call flow and intent.
Unsafe for Agents
Untrusted runtime values can leak into AI workflows without structural safeguards.
Narrative Logging from Code Structure
NarrativeTrace captures method names, parameters, call hierarchy, timing, and errors directly from runtime execution. The result reads like system behavior instead of fragmented log text.
- No hand-written log boilerplate in core business methods
- Less boilerplate means more relevant context for AI agents in the same window
- Human-readable traces for debugging and architecture understanding
- Structured output modes designed for AI consumers
Before / After
// Before
logger.info("placing order {}", customerId);
...
logger.info("order result {}", result);
// After
return checkoutService.placeOrder(customerId, qty);Capture Once, Serve Multiple Consumers
01
Instrument
Add NarrativeTrace annotations and runtime configuration.
02
Capture
Collect execution flow, context, durations, and failures.
03
Render
Generate Markdown and JSON narrative outputs.
04
Extend
Use Pro and Enterprise capabilities for AI workflows and governance.
Outcomes That Matter
Cleaner Service Code
Remove repetitive logging noise from business logic.
Faster Incident Triage
Read runtime behavior as structured narratives, not scattered log lines.
Better AI Assistance
Give agents higher-signal context by removing logging noise and preserving room for business logic.
Safer Modernization
Use narrative traces to verify behavior during migrations and refactors.
Start with Free. Upgrade for AI and Governance.
Free Library
Production-ready narrative tracing and code comprehension for human workflows.
- Core tracing and annotations
- Logging integration
- Markdown and JSON outputs
- Redaction controls (
@NotTraced)
Pro / Enterprise
Add AI integration, advanced diagnostics, and organization-level controls.
- MCP and AI-oriented output modes
- Advanced clarity and trend diagnostics
- Governance policies, compliance, and cross-service controls
Fits Existing Developer Workflows
Logging Ecosystem
Works with existing logging frameworks and structured log pipelines.
CI and Test Pipelines
Supports narrative output as part of automated test and delivery workflows.
AI Toolchain (Paid)
Pro and Enterprise add MCP and AI-oriented output capabilities.
Built for Real Engineering Work
Debugging Complex Flows
Use narrative traces to understand what happened, where, and why.
Legacy System Comprehension
Use narrative traces to understand what happened, where, and why.
Migration Verification
Use narrative traces to understand what happened, where, and why.
AI-Agent Runtime Context
Use narrative traces to understand what happened, where, and why.
Adopt Narrative Logging Without a Pricing Gate
Install the free library and start generating runtime narratives today.