Updated June 2026

Now

A snapshot of what I'm currently working on, learning, writing about, and paying attention to.

Inspired by the /now page movement — a simple way to share what matters right now.

Working On

AI Tool Enablement

Evaluating and promoting GitLab Duo, GitHub Copilot, Amazon Kiro, and MCP-based workflows across engineering teams in an enterprise banking environment.

CI/CD Governance

Continuing platform modernization — pipeline standardization, GitLab SDLC governance, and DevSecOps tooling across a large multi-team engineering programme.

Agentic AI Skills & Reusable Workflows

Designing reusable AI skills for enterprise engineering tasks — code review, impact analysis, story refinement, test generation — using Kiro and MCP patterns.

me.bankyblueprints.com

Building out this site as a connected professional knowledge portal — adding pages, content, and structured data progressively.

Learning

Agentic AI — Johns Hopkins Certificate

Completed a rigorous 16-week, 110-hour programme at Johns Hopkins University covering Agentic AI systems, LLM orchestration, multi-agent workflows, RAG, MCP, and practical AI-enabled engineering (Jun 2026).

LangGraph & Multi-Agent Orchestration

Deepening practical knowledge of stateful graph-based agent workflows — supervisor patterns, human-in-the-loop design, and long-running agent loops.

RAG Pipeline Engineering

Working through RAG evaluation, chunking strategies, retrieval quality, and production-grade RAG architectures for enterprise engineering use cases.

MCP Server & Client Patterns

Exploring how MCP standardizes tool-use across different AI coding environments — building small MCP servers to connect agents to real engineering data.

Writing About

MCP — Model Context Protocol

Practical MCP server and client implementation for AI agents.

AI Harness Engineering

Systematic evaluation and testing of LLMs, RAG pipelines, and agents.

LangGraph Orchestration

Building stateful multi-agent workflows with LangGraph in Python.

GitLab Duo in Practice

Real-world usage of GitLab Duo for code review and CI/CD workflows.

Agentic AI for Enterprises

How large engineering teams can adopt Agentic AI without disruption.

AI Tools in Active Use

Amazon Kiro

Spec-driven development and AI skills for repeatable engineering workflows.

GitLab Duo

AI-assisted merge request review and code suggestions in GitLab.

GitHub Copilot

Inline code completion and agent mode for .NET and Angular development.

Claude (Anthropic)

AI coding assistant, reasoning, and multi-step engineering workflows.

ROO Code

Agentic coding via VS Code with MCP tool integration.

This page reflects what I'm genuinely focused on right now — not a marketing list. It's updated periodically as priorities shift.

Last updated: June 2026