Seed the graph
Add KB articles, ADRs, docs, and agent-written notes that describe components, contracts, tests, decisions, and dependencies.
Traceable impact analysis for AI development agents
Tracelix gives agents ready, graph-backed impact context at the start of a task. They identify affected dependencies, contracts, tests, and architecture decisions without rebuilding context from scratch.
Agents miss impact when context is scattered.
Reading more files and documents does not guarantee system understanding. Agents still have to infer how components, contracts, requirements, tests, and decisions connect, so relevant impact can still be missed.
- Hidden dependencies Relevant components, contracts, tests, and requirements can be connected in ways plain search does not reveal.
- Incomplete decisions Agents may act without prior architecture decisions, business rules, or known constraints that should shape the change.
- Expensive verification Teams spend extra time reviewing, re-checking, and correcting work because impact analysis was incomplete.
A context graph agents can query in natural language.
Tracelix turns system knowledge into a traceable graph of components, dependencies, requirements, and source-backed facts. Agents query it at the start of a task to get relevant impact context without starting from raw search.
Ask in natural language
The agent asks what a task may affect and receives affected components, dependencies, requirement traces, and source-backed facts.
Work from an impact brief
The graph response guides file inspection, change scope, test selection, and risk review.
Update the graph
After implementation is finished, the agent submits a concise KB update so future tasks start with fresher context.
From task prompt to impact brief.
The agent asks Tracelix what a task may affect. Tracelix returns focused context the agent can use during implementation: affected components, dependency paths, source-backed facts, and suggested checks.
Agent asks Tracelix
What components, contracts, tests, and decisions are affected by changing document ingestion retry behavior?Tracelix returns
Affected componentsIngestion service, worker, repository, API implementation.
Dependency pathsRetry behavior connects run status, retry fields, events, and API response shapes.
Suggested checksService, repo, HTTP API, timeout, and retry scenarios.
Source-backed factsRelevant KB notes, ADRs, and docs behind each returned relationship.
Give your agents reusable impact knowledge.
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