Agentic AI Engineering Playbook: A Practical Demonstration with Banking app using Node.js
What Is Agentic AI (and Why It Helps Engineering)
Read moreDQdigitals is my personal lab for Software Engineering, AI/ML, Cloud Computing, Quality Engineering, and Platform Engineering—where product craftsmanship and UX storytelling collide. Expect the kind of software delivery field notes usually traded after midnight releases, captured as walkthroughs, playbooks, and hands‑on experiments—from AI/ML and cloud patterns that reshape how teams deliver to AI‑assisted test generation with WebdriverIO, Playwright, and Restlyn automation that keeps releases sharp.
Executive‑level guidance on AI adoption across GCP/AWS, data platforms, and agentic systems. Practical playbooks for model orchestration, automation, and decision support. Focused on measurable outcomes like reliability, cost, and time‑to‑delivery.
Cloud transformation across GCP/AWS, scalable architecture, and delivery systems that keep teams shipping with confidence. Expect modernization playbooks, DevSecOps, and reliability practices that remove friction.
Quality strategy, governance, and automation programs that protect release health. Includes AI‑assisted test generation, scorecards, and regression guardrails. Built for predictable releases and lower defect leakage.
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A quick on-ramp to the most representative playbooks and patterns.
What Is Agentic AI (and Why It Helps Engineering)
Read moreIntroduction Product teams are shipping faster than ever, yet every release still depends on fragile scripts, compliance checklists, and...
Read moreFresh reads from the lab. Catch the newest drops before they fade into the archive.
Why Another Playbook? Agentic AI is great for chaining reasoning steps, but teams also need a lightweight, deterministic generative flow ...
Read moreWhat Is Agentic AI (and Why It Helps Engineering)
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