What we think?

Explains how to engineer a robust, fault-tolerant token counting server using FastAPI and PowerShell, covering error handling, retries, fallbacks, and resilient workflows.

Explains why true Scrum requires real team agency, not just self-management in name, and how lacking agency leads to ineffective, ritualistic Agile practices.

Learn how to automate legacy systems by shifting organisational mindset, adopting DevOps practices, and making incremental improvements to boost efficiency and innovation.

Learn essential strategies for transitioning from monolithic systems to microservices, including planning, team alignment, managing complexity, and ensuring scalable delivery.

Learn how to modernise legacy systems by balancing stability and innovation, managing technical debt, and adopting gradual, sustainable improvements for long-term success.

Explore practical strategies for overcoming legacy system challenges, addressing technical debt, compliance, integration, and guiding effective modernisation decisions.

Explains how the Definition of Done evolves in Scrum, aligning team practices with organisational standards to ensure consistent quality, compliance, and business value delivery.

Scrum Masters are most effective when they combine leadership skills with technical, business, and organisational mastery to support teams, Product Owners, and change.

Explores how Scrum Masters and Product Owners balance leadership, authority, and team autonomy to ensure accountability, effective self-management, and organisational alignment.

Measuring individual cycle time in Kanban misleads teams, hides real bottlenecks, and harms flow. Focus on system-wide metrics like PCE, WIP, and throughput instead.

Explores how fostering a culture of quality and engineering excellence across teams leads to better, safer products, highlighting the impact of leadership and shared values.

Explores how technical excellence in Agile development reduces risk, prevents technical debt, and boosts product quality and delivery speed through strong engineering standards.

Explains how the Definition of Done evolves in Scrum, aligning team practices with organisational standards to ensure consistent quality, compliance, and business value delivery.

Explains why staggered iterations harm software delivery, increasing technical debt, and recommends cross-functional teams, test-first, and working software each sprint.

Explore proven strategies from Azure DevOps for building resilient, reliable software systems—covering transparency, automation, telemetry, incident response, and team culture.

Scrum Masters are most effective when they combine leadership skills with technical, business, and organisational mastery to support teams, Product Owners, and change.

Continuous delivery is achievable for any software, regardless of complexity. Success depends on investment in automation, quality, and process improvement—not technical barriers.

Argues that the Scrum Master role requires proven mastery and real-world experience, not entry-level skills or certifications, and should be earned within the team, not assigned.

Value in software is only realised through delivery. Frequent releases validate assumptions, reduce risk, and enable rapid feedback, adaptation, and continuous improvement.

Scrum teams must deliver working software to real users every Sprint; true progress is measured by delivery to production, not just by completing internal work.