Why AI coding tools need a new kind of engineering discipline, and what we’re doing about it A while back, a team of our senior engineers tried something that is now pretty common. They took a feature they would normally estimate at around 16 hours and built it with an AI coding agent. It took… Continue reading AI-Integrated Governed Engineering
Traditional application support keeps systems running. The real issue, though, is whether or not it ever improves them. The monthly service review looks good. In fact, it looks better than good. SLA compliance is above target, tickets are closing quickly, availability matches the contract. During the meeting, a business lead mentions an application that keeps… Continue reading Your Application Management Services (AMS) Provider Is Meeting Its SLAs. So Why Aren’t Your Problems Going Away?
INTRODUCTION Enterprise software testing is in the process of shifting from its fundamentals by incorporating Generative AI, Retrieval Augmented Generation (RAG), and intelligent knowledge systems. Traditional QA approaches of manual test design, automation, and defect management are no longer enough in today’s development pipeline, which requires speed, accuracy, and continuing validation. This blog provides an… Continue reading Building an Enterprise Agentic AI Testing Assistant – A Practical Implementation Guide
How we automated the verification of hundreds of dashboards, alerts, and SLOs during a New Relic to Grafana LGTM migration. By Mahesh Shekharapp The Validation Gap Nobody Budgets For Your team has just moved its observability stack off New Relic and onto Grafana’s LGTM stack (Loki, Grafana, Tempo, Mimir). Dashboards, alert policies, SLOs (Service Level… Continue reading Validating an Observability Migration at Scale with Agentic AI
How modern ETL validation framework are redefining data confidence, making pipelines trustworthy and auditable, and quick enough that teams actually bother running them. Envision the following situation: your team has been working for weeks to move a vital database from SQL Server to Databricks, involving millions of rows and various transformations, yet the date set… Continue reading ETL Validation Framework: How to Cut Data Reconciliation Time by 67% (Without Writing Python)
What is the gap between AI adoption and AI value? McKinsey’s 2025 State of AI survey found a clear gap between adopting AI and generating measurable business value from it. While 88 percent of respondents said their organizations use AI in at least one business function, only about 6 percent qualified as high performers. McKinsey… Continue reading Microsoft 365 E7 Explained: What It Bundles, and Why Licensing Alone Won’t Close the AI Value Gap
Data quality and report quality get treated as the same problem more often than not, and that’s usually where trouble starts. A dashboard can be built on flawless data and still mislead someone looking at it, or it can be visually polished while quietly reporting the wrong numbers underneath. Telling those two failure modes apart,… Continue reading Power BI Testing Guide: From Data Validation to Report Accuracy
AI agent governance is becoming the defining challenge of enterprise AI adoption, and Microsoft Agent 365 is emerging as the platform built to address it. Enterprises are deploying agents faster than they can govern them. Standing up a new agent takes an afternoon. Accounting for one takes something most organizations don’t have: a single place… Continue reading AI Agent Governance: How Microsoft Agent 365 Closes the Gap
Why Your Path to Microsoft Fabric Matters More Than the Deadline Most organizations treat the SQL Server 2016 end-of-support deadline as a compliance problem. Patch the risk, move on. That instinct is going to cost some of them — not just in security exposure, but in the architecture they get locked into once the decision… Continue reading SQL Server to Microsoft Fabric Migration
The rise of AI does not replace traditional UX – it can bring out its boundaries. For many years, UX processes have been optimized for deterministic systems: understanding end users, scenarios, journey mapping, interfaces, usability and iteration. So far this approach has worked well, but one catch is that it only works when systems behave… Continue reading From UX to AI UX: Redefining the Design Process for Intelligence