AI app for it and development · no coding needed
Internal developer knowledge assistant
Permission-aware answers tied to technical source versions.
Made for: Engineering productivity leads
What it does for you
The problem
Runbooks and architecture decisions are difficult to retrieve.
What it gives you
Technical answers with source references
What you give it
Authorized technical docsaccess rulessource ownership
How it works, step by step
- Search runbooks
- Cite current decisions
- Respect repository access
- Show stale sources
- Surface conflicting guidance
- Route maintainer questions
What you see on screen
- Technical search
- cited answer
- owner escalation
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Internal developer knowledge assistant with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Internal developer knowledge assistant with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare21 KB
- prompt-vps.mdThe same build on your own server (Docker)21 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For engineering productivity leads, turn authorized technical docs, access rules and source ownership into technical answers with source references. Address the recurring problem: runbooks and architecture decisions are difficult to retrieve. The pilot measures verified retrieval and engineer search time against the buyer's current method, before the larger build.
Add an approved collection, assign source owners and access rules, test representative questions, let users ask questions, retrieve supporting passages, answer or request clarification, and hand off unresolved cases with their context. Start with authorized technical docs, access rules and source ownership and finish with technical answers with source references.
How the AI works
Retrieve permitted passages and generate answers constrained to those sources. Use structured rules for transactional facts. Detect missing context and refuse to invent unsupported details. Store reviewer corrections for evaluation and controlled knowledge updates.
Safeguards
Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with engineering productivity leads and one recurring use case. Build the first two modules: search runbooks; cite current decisions. Provide operator assistance for the third module: respect repository access. Deliver technical answers with source references through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Authorized repositories, technical documentation, application APIs and logs. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. These are candidate integration categories, not verified supported connectors.
The screens in detail
Give end users a simple search or conversation surface with short answers and expandable citations. Administrators get source status, unanswered questions and handoff queues. Show the source date beside relevant answers. Keep conversation context available to the staff member receiving an escalation. In this product, the first view is technical search, followed by cited answer and owner escalation.
