Beyond AGENTS.md: Turning AI Pair Programming into Workflows
This article explores why AI-assisted coding needs structured workflows to be effective, and how context engineering, role-based agents, and deterministic commands improve consistency and code quality. It provides a practical framework for turning ad hoc AI usage into a reliable, scalable development process.
A Strategic Framework for Integrating AI Into Products
Integrating AI is no longer a matter of "if" but "how." This article explores a decision-first approach to AI integration, moving away from flashy demos toward measurable business value, unit economics, and "Human-in-the-Loop" governance.
From Prompts to Systems: Building Multi-Agent Architectures with Google ADK
Multi-agent systems provide a scalable option to single-agent setups by dividing tasks and organizing workflows. This post looks at important multi-agent patterns and shows how to design, manage, and launch a production-focused system using Google’s Agent Development Kit and Gemini.
Key Challenges for Localization in AEM
This blog explores common localization challenges in Adobe Experience Manager (AEM) and how teams can address them before they become costly operational issues.
Risk Management 101: How We Anticipate and Mitigate Project Dangers
This post explores how effectively managing risks in projects helps to identify potential challenges early and improve future decision making.
Beyond the Human Eye: AI-Assisted Visual QA for Figma → AEM Workflows
This blog explains how AI-assisted visual QA helps teams catch subtle UI differences faster than manual review alone. It shows how comparing Figma designs with AEM previews can make QA more consistent, scalable, and evidence-based.
The Logic of Alignment: Mastering Cross-Functional Teams
This blog post dives into how mapping production logic, building an asynchronous source of truth, and leading with context (not control) eliminates hidden dependencies and turns cross-functional alignment into a real speed advantage.
Beyond AGENTS.md: Turning AI Pair Programming into Workflows
This article explores why AI-assisted coding needs structured workflows to be effective, and how context engineering, role-based agents, and deterministic commands improve consistency and code quality. It provides a practical framework for turning ad hoc AI usage into a reliable, scalable development process.
A Strategic Framework for Integrating AI Into Products
Integrating AI is no longer a matter of "if" but "how." This article explores a decision-first approach to AI integration, moving away from flashy demos toward measurable business value, unit economics, and "Human-in-the-Loop" governance.
From Prompts to Systems: Building Multi-Agent Architectures with Google ADK
Multi-agent systems provide a scalable option to single-agent setups by dividing tasks and organizing workflows. This post looks at important multi-agent patterns and shows how to design, manage, and launch a production-focused system using Google’s Agent Development Kit and Gemini.
Key Challenges for Localization in AEM
This blog explores common localization challenges in Adobe Experience Manager (AEM) and how teams can address them before they become costly operational issues.
Risk Management 101: How We Anticipate and Mitigate Project Dangers
This post explores how effectively managing risks in projects helps to identify potential challenges early and improve future decision making.
Beyond the Human Eye: AI-Assisted Visual QA for Figma → AEM Workflows
This blog explains how AI-assisted visual QA helps teams catch subtle UI differences faster than manual review alone. It shows how comparing Figma designs with AEM previews can make QA more consistent, scalable, and evidence-based.
The Logic of Alignment: Mastering Cross-Functional Teams
This blog post dives into how mapping production logic, building an asynchronous source of truth, and leading with context (not control) eliminates hidden dependencies and turns cross-functional alignment into a real speed advantage.
