Beeta Hive for SAP BTP Integration Suite

Beeta Hive — SAP Integration Suite Assistant Beeta Hive is a browser-native assistant for SAP BTP Integration Suite (Cloud Integration / CPI). It lives inside the Integration Suite tab you already have open, reads the integration flow you are looking at, and helps you review it for quality, document it to a professional standard, trace how it actually ran, test it, and keep your interface landscape organized — without installing a server, uploading your designs anywhere, or leaving your browser. If you build, review, or govern integration flows on SAP BTP, you already know the routine: open an iFlow, squint at the canvas, hunt through adapters and Groovy scripts, cross-check naming against a standards document nobody can find, dig through monitoring screens when something breaks, and then start writing the technical specification by hand. Beeta Hive collapses that routine into a few clicks, right where you work. Connect with Developer: https://www.linkedin.com/in/mahesh-dash/ WHAT BEETA HIVE DOES Beeta Hive adds a small launcher to your SAP Integration Suite pages. Open it and it reads the integration flow currently on screen — participants, adapters, processing steps, message flows, Groovy scripts, externalized parameters, and configuration — and turns that into something useful. Everything happens locally in your browser. Seven capabilities are available today, organized as focused modules under one purpose: LINTER — Review your iFlow against the standards that matter The Linter checks the open integration flow and produces a clear 0–100 compliance report so you can see, at a glance, how healthy a flow is and exactly what needs attention. It looks at three things: Naming conventions — channels, steps, participants, and artifacts checked against configurable naming rules, so your packages stay consistent across teams and tenants. SAP design guidelines — checks aligned to SAP's integration design-guideline rules, surfacing the issues reviewers usually catch by hand. Groovy scripts — static checks on your script steps to flag common problems before they reach runtime. Each finding is explained in plain language and grouped by severity, with a reviewer workflow so you can step through issues, mute the ones that do not apply, and set a baseline for a flow you have already accepted. When you want help fixing something, Beeta Hive can request an AI suggestion for a finding using your own AI key (see "Bring your own AI" below) — the suggestion is shown to you for review and is never applied automatically. When you are done, export the report as HTML, Excel, or a branded PDF to attach to a change request, share with a reviewer, or keep as evidence that a flow passed review. Why it helps: code review for integration flows is usually manual, inconsistent, and slow. The Linter makes it repeatable. New team members get instant feedback instead of waiting for a senior architect; leads get a consistent yardstick across every package; and "did this pass review?" becomes a number and a report instead of an argument. DOCUMENTOR — Turn an iFlow into a real technical specification Documentation is the task everyone postpones. Beeta Hive's Documentor reads the open integration flow and drafts the document for you. Choose between two formats: Technical Specification — a full, structured SAP-style technical specification covering document control, interface overview, business requirement, architecture, interface details, processing steps, mapping, headers and properties, security, error handling, retry, monitoring, scheduling, dependencies, transport, test scenarios, cutover, open points, and approvals. Summary — a concise, readable overview of what the flow does, the systems it connects, and how the message travels through it. Fields that can be derived from the iFlow are filled in automatically — integration type, protocol, adapters, processing order, externalized parameters, and more. Everything that needs a human decision is clearly marked so nothing important is silently left blank. The whole document is editable in place: correct any field, add rows to a table, add processing steps, and upload your test cases from CSV or Excel to populate the test-scenarios section. When it looks right, export it as HTML or Markdown, print it to PDF, or save it locally to reopen and finish later. You can also ask the built-in AI to draft narrative sections such as the business requirement using your own AI key. Why it helps: a first draft that is already 70–90% complete, generated in seconds from the actual flow, is the difference between documentation that exists and documentation that does not. Handovers, audits, AMS transitions, and go-lives all go faster when the spec is accurate and current. INTERFACE REPOSITORY — Keep your landscape organized Integration estates sprawl. The Interface Repository gives you a single, browser-local inventory of your interfaces with a dashboard view — KPI tiles, status breakdowns, and a landscape reconciliation card — so you can see what you have, spot duplicates and gaps, and keep naming consistent. Create and edit entries, import and export your inventory, and use convention-driven helpers to compose interface IDs and business-system names the same way every time. Why it helps: most teams track interfaces in a spreadsheet that is out of date the day it is shared. A structured, convention-aware repository keeps the picture honest and makes onboarding, audits, and migrations far less painful. TRACER — See how the flow actually ran When a flow misbehaves, the answer is usually buried in the monitoring screens. The Tracer reads the message processing log for the open iFlow and paints the execution path directly onto the canvas you are already looking at — what ran, where it failed, and per-step timing. Step through the run to inspect the payload, headers, and properties at each point, and follow the message along the path it actually took. The Tracer …