🐙 Autonomous Engineering Execution & Git Governance

Kbot R&D AI-Helper Guide

The R&D AI-Helper is the autonomous intelligence layer that accelerates software engineering teams, senior developers, and technical leadership across any tech stack. Every Pillar below is connected to a measured R&D KPI dimension, and you can customize both the pillar rules and its KPI Weight (%) directly.

Cycle Standard:

09:00 – 18:00 PST

🛡️ Work is gated by review & merge before it counts

Engineering output is credited only when it clears the gate: a pull request must pass CI (green tests), peer review, and be merged — and the task evidence must reconcile against the Git/CI ledger (three-way agreement). Code that isn’t merged, or hours not backed by signed commits, don’t score. So: open PRs early, keep CI green, and get your work reviewed and merged — merge, not activity, is what releases your KPI credit.

🎯 R&D AI-Helper — Build the Deliverable, Move the KPI Score ⚖️ Total Weight: 100% ✓ Saved to Workspace

⚡ Live R&D AI-Helper Interactive Console

Kbot Engineering Engine v3.4

🎯 Service Parameters & Action

Target Service / Module Target Engineering Challenge / Feature Select R&D AI-Helper Workflow

📟 Execution Telemetry & Response

Select an action on the left or click '▶️ Pre-Run Test' on any pillar to see real-time Kbot engineering telemetry...

🔬 R&D AI-Helper Engineering Telemetry Pipeline

Telemetry Stream	Cadence	Collection Source	Verification Guarantee
1. Code Performance (30%)	Continuous Sprints	Full-Stack Codebase & Test Suite	Signed commit_sha & passing tests
2. Target Met (20%)	Daily Sprint Target	Acceptance Criteria & Live Proof	Verified pr_number / doc_url
3. Production Reliability (15%)	Pre-Merge & Post-Deploy	Typecheck, Linter & Container Health	Zero prod regressions / 0 reverts
4. AI Progress Match + Reviews + Time + Schedule (35%)	Daily at 18:00 PST	Three-Way Git SHA Ledger & Work Diary	100% auditable (0 ghost developer hours)