For the people who answer for the system
Nobody can draw your architecture. Your code already did.
The operating picture of your software, generated from the source, read the same way by your engineers, your executives, and your AI agents.
The business and the engineering floor stopped speaking the same language.
On the ground, your engineers
- Can't see what breaks downstream when they change a service
- Onboard in months, nobody can point to the whole system
- Rebuild what already exists on another team
- Now inherit AI-written code no one ever mapped
In the boardroom, you can't answer
- What does our engineering org actually run?
- Which systems does this security issue touch?
- Where does sensitive data flow, for the audit?
- What's business-critical, and who owns it?
Three costs compounding. One lever that pays.
- 30% of new code is AI-written, and no one mapped it
- 3mo to onboard an engineer into an unmapped codebase
- 0 real-time view leadership has of what's actually shipping
- 60% fewer tokens for sharper answers, curated context not the whole repo
We turn your repos into your operating picture.
The operating picture of your software, conforming to ISO/IEC/IEEE 42010, the international standard. What took institutions years and eight figures now builds itself from your source, in minutes.
- A multi-service codebase, never seen before
- Full model in one pass
- Owners, tech stack, risk, compliance per node
- Ask any node in plain language
One graph. One language. Every stakeholder's view.
Your leadership
The executive view. What we run, what is at risk, what this CVE touches, in plain business terms.
Your engineers
The engineering view. What breaks if I change this, down to the file and the dependency.
Your AI agents
The machine view. Curated context pulled straight from the model. Sharper output, fewer tokens.
One graph. Three altitudes.
From the world your product lives in, to the services you ship, to the code developers touch every day. Pick an altitude to zoom in.
Business view: The big picture
See your system in context. The people who use it and the external platforms it depends on, mapped from real integration code. Example: a checkout product talking to Stripe for payments, Auth0 for identity, and SendGrid for receipts.
- Product leaders: Which vendors we depend on and where customer journeys break.
- Executives: Strategic risk, cost of third parties, market posture.
- New hires: What the company actually builds, in one picture.
- Compliance: Where personal data leaves our perimeter.
System view: The moving parts
Inside the system: web app, API, workers, databases and queues with the real call graph between them. Example: a Next.js storefront calling a Payments API that uses Stripe SDK, writes to Postgres and emits webhook events through Kafka.
- Architects: Service boundaries, data flow, blast radius.
- SRE and Platform: What runs where, scaling and failure modes.
- Tech leads: Where to add a new feature without breaking things.
- Security: Trust zones, network paths, secrets in transit.
Developer view: Inside the code
Zoom into a single service. Modules, classes and functions extracted straight from source. Example: inside the Payments API, a StripeClient wraps the SDK, a ChargeService orchestrates intents, a WebhookHandler verifies signatures and a Ledger writes to Postgres.
- Developers: Where a function lives and what calls it.
- Code reviewers: Hidden coupling and unexpected dependencies.
- On-call engineers: Tracing an incident from log line to module.
- AI coding agents: Grounded context to edit code safely.
Your agents are only as good as the context you feed them.
Context from the raw repo
- Greps blindly, dumps whole files
- Noisy and partial, often the wrong slice
- Weak on cross-repo links and business meaning
- More guessing, more hallucination
- And it burns tokens doing it
Context from your graph
- The exact subgraph for the task, code and business
- Owners, dependencies, data flow, intent
- Curated structure, so answers come back sharper and grounded
- Works on code AND business questions
- Side effect: ~60% fewer tokens, more AI on the same plan
Leadership gets a cockpit, not a status meeting.
Who's building what
Activity and ownership per service. See where the effort actually goes.
Where the risk is
Compliance, security, stale or abandoned services, flagged on the map.
The KPIs you choose
Pin the metrics that matter to you, read straight off the architecture model.
Plugs into your stack
Connectors to the tools you already run. You steer what comes first.
The same work, a fraction of the time.
| Task | Manual | With KnowledgeForge |
|---|---|---|
| Audit & compliance prep | weeks | about a day (~10× faster) |
| Onboard a new engineer | months | days |
| Architecture diagram | hand-drawn, stale | auto, always current |
| Blast radius of a new CVE | days of digging | one query |
| AI agent context | raw repo dump | curated subgraph (sharper, ~60% fewer tokens) |
Point it once. Then it runs itself.
- Point it at your repos. GitHub URL or local folder, public or private. One repo or your whole estate.
- It builds the graph. Parses the source into a standards-based architecture description, with owner and risk on every node.
- It stays current. Re-extracts on every commit, PR, and redeploy. The map never drifts from reality.
- Everyone queries it. People in plain language, agents in the same ontology. One source of truth.
Enterprise-grade security, on your terms.
Designed for ISO 27001 & SOC 2
Controls built to the frameworks enterprise procurement asks for.
Deploys in any infrastructure
Managed, your own cloud, or fully on-premises.
GDPR-compliant, EU-hosted
Hosted in the EU. Your data stays yours.
See your own operating picture. Heads you win, tails you lose nothing.
Send us one repo. We map it free and walk you through it on a 20-minute call. No commitment, and worst case you are out the 20 minutes. We are early, and picking a few founding customers this quarter. If you run more than a handful of services, this is for you.
About
We built KnowledgeForge because we could not answer these questions about our own systems either. It is built and run by its two founders, Iulia and Vlad.