Business
Rules, actors and business services — extracted with AI and confidence-scored.
READING CODE
Abiktop scans your code, database structures and infrastructure, and links them to business rules and needs — turning them into a living corporate memory.
No spam. One email when we launch.
Needs and business rules linked to code, data and infrastructure
THE PROBLEM
Every organization pays the price of not knowing how its own system works: outdated documentation, questions left unanswered for weeks, and releases you can only hope won't break anything.
Hand-written documentation goes stale after the first missed update. Knowledge regenerated from code with Abiktop doesn't.
Documentation that doesn't reflect reality
The diagram was drawn at kickoff. Outdated by sprint three, history by year two. Nobody trusts it, so nobody updates it.
Documentation is regenerated from code based on triggers you define — it isn't a page someone has to update by hand.
Manual impact analysis
“What breaks if we change this function?” means days of scanning code and — if they still exist — talking to the two people who remember how it works.
“Which services touch the refund flow?” is answered instantly — no hours spent searching through code, documentation, emails and chat logs.
Lost corporate memory
How the system really works lives in the heads of a few senior employees. When one leaves, the knowledge leaves too — rediscovering it can take months.
New hires learn from the system's living map instead of relying on word of mouth.
Unanswered questions
“Where does customer data live, who can access it, and who updates it?” Unanswered questions turn bug fixing and audits into a fire drill.
Every run is versioned. See exactly what the knowledge looked like on any date.
Recurring AI costs
Every “how does this work?” question sends the entire codebase to the AI again — paying the same cost over and over. Abiktop builds the graph only when triggered by rules you define — every commit, every release, or with a single click. Answers come from the graph; the code is never re-read each time.
Secrets are masked before anything is stored; the AI reads the graph — never your raw source code.
Fingers-crossed releases
Nobody can say what a change will affect before release, so every release depends on luck not to break something.
Impact analysis runs in CI before release — not in production after deployment.
HOW IT WORKS
java · ts · sql · tf · k8s
Reads the code and infrastructure.
AI model
Extracts the business rules.
Business · App · Data · Infra
Connects the four layers.
CI · bidirectional
Flags code with no matching business need. Updates code and infrastructure where it matters. Adjusts code to match the need.
Triggered by every commit, merge, release, or a rule you define.
IMPACT ANALYSIS
One rule change spreading across the four layers
THE FOUR LAYERS
Rules, actors and business services — extracted with AI and confidence-scored.
Services, classes, methods, message queues and service calls.
Schemas, tables, storage and external integrations.
Servers, cloud providers, Terraform, Kubernetes, Docker and CI/CD.
MCP & INTEGRATIONS
Your intelligent knowledge base, inside the AI tools you already use. One MCP server covers Claude Code, OpenCode, Cursor and VS Code and others...
Consistent access to knowledge
Access to knowledge without access to source code. Answers come with references.
search_graphSearch the knowledge by keyword.get_nodeShow related knowledge nodes and code links.get_journeyFollow a flow: actor → service → code → table.Editors
Publishing
SUPPORTED TECHNOLOGIES
| Technology | Layer | Status | Request |
|---|---|---|---|
| Knowledge base1 / 6 | |||
| Markdown | L1Business | Supported | |
| Notion | L1Business | Soon | |
| Confluence | L1Business | Soon | |
| MediaWiki | L1Business | Not planned yet | |
| SharePoint | L1Business | Not planned yet | |
| Google Docs | L1Business | Not planned yet | |
| Code3 / 9 | |||
| TypeScript | L2Application | Supported | |
| JavaScript | L2Application | Supported | |
| React / JSX | L2Application | Supported | |
| Python | L2Application | Soon | |
| Java | L2Application | Soon | |
| Python | L2Application | Not planned yet | |
| C# / .NET | L2Application | Not planned yet | |
| Go | L2Application | Not planned yet | |
| Kotlin | L2Application | Not planned yet | |
| Database4 / 7 | |||
| PostgreSQL | L3Data | Supported | |
| MySQL | L3Data | Supported | |
| SQLite | L3Data | Supported | |
| Oracle | L3Data | Supported | |
| Redis | L3Data | Soon | |
| MongoDB | L3Data | Not planned yet | |
| Snowflake | L3Data | Not planned yet | |
| Infrastructure as code1 / 7 | |||
| Docker | L4Technology | Supported | |
| Kubernetes | L4Technology | Soon | |
| Terraform | L4Technology | Not planned yet | |
| Helm | L4Technology | Not planned yet | |
| Pulumi | L4Technology | Not planned yet | |
| Ansible | L4Technology | Not planned yet | |
| CloudFormation | L4Technology | Not planned yet | |
New connectors ship with every release — vote on “Soon” rows to help decide what should come next.
CONTACT
One monorepo or a huge legacy estate; one repo or two hundred — tell us about your codebase and we'll show you what Abiktop can map.