What Prism Is
Your codebase already contains the answers. They're just hard to access.
Prism turns it into:
- Structured
- Searchable
- Explained
Your Codebase
Millions of lines of code
What Prism is
Context.
Structure.
Understanding.
Answers
Instant access to what matters
Without PRISM
- Start from files
- Search > Open > Trace
- Ask someone
- Guess structure
With PRISM
- Start from answers
- Jump to the right place
- No interruptions
- Clear system view
Core Capabilities
Find by Intent
Search by what you mean, not how it's named: "validate JWT" → correct logic.
Understand instantly
Every function, class, and module comes with a plain-language explanation.
See the system
Architecture-aware navigation. Core modules surfaced first.
Work without friction
Follow logic across repos and services. No interruptions, no handovers.
- Stop exploring blindly
- Use the right context
- Fewer retries
- Better outputs
Prism Layer
Same knowledge.
Same Answers.
- Stop searching
- Don't rebuild mental models
- Faster navigation
- Move with confidence
FAQ
Common
questions.
Everything you need to know about how Prism works and what it can do for your team.
Prism is a context engine that sits on top of your codebase. It indexes every function, class, module, and service. Then exposes that knowledge as structured, searchable, and explained data that both developers and AI agents can query instantly.
Traditional search finds text matches. Prism understands structure. It knows that a function belongs to a service, that a service depends on another, and that a module is the canonical entry point. Instead of returning file matches, it returns answers.
Prism currently supports TypeScript, JavaScript, Python, Go, Rust, Java, and Kotlin, with more languages being added. Mixed-language monorepos are fully supported. Cross-language dependencies are resolved and surfaced.
AI agents spend most of their context budget exploring files they don't need. Prism gives them the right context upfront: architecture, dependencies, and plain-language explanations. Fewer tokens wasted exploring, better outputs on the first try.
For most codebases under 500K lines, initial indexing completes in under ten minutes. Subsequent updates are triggered automatically on each push and only reprocess what changed.
Yes. Prism indexes the entire repository as one unit, resolving imports and dependencies across packages and services. The architecture map and dependency graph work across package boundaries, so you get a unified view of your system rather than isolated per-package snapshots.
In the cloud-hosted plan, your code is processed in an isolated pipeline and never used for model training. Only structured outputs are retained: code chunks, embeddings, descriptions, and dependency data. No full repository copies are stored. Data is stored in Switzerland, processed in Europe. For enterprise customers, Prism can run fully on-premise or in your own cloud environment, ensuring source code never leaves your infrastructure.
Prism integrates with your Git provider and listens for push events. On each push, the pipeline re-runs automatically, detecting which files changed and reprocessing them. Your knowledge graph, architecture map, and search index stay current without any manual intervention.
Prism scales from a solo developer working on a side project to an engineering org with hundreds of contributors. The value compounds with codebase size. The larger and older the repo, the more Prism saves in navigation, onboarding, and context recovery.
Connect your GitHub repository, wait for the initial index to complete, and start querying. There is no SDK to install, no configuration file to write, and no agent to run. The REST and MCP APIs are available immediately after indexing.