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		<title>Digital Transformation on Engineering Leadership in AI &amp; Software</title>
		<link>https://engineering-leadership.hinshelwood.com/tags/digital-transformation/</link>
		<description>Recent content in Digital Transformation on Engineering Leadership in AI &amp; Software</description>
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				<title>From Legacy Pain to Modern DevOps: My Proven Roadmap for Real Engineering Transformation</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/from-legacy-pain-to-modern-devops-my-proven-roadmap-for-real-engineering-transformation/</link>
				<pubDate>Mon, 04 Aug 2025 07:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/from-legacy-pain-to-modern-devops-my-proven-roadmap-for-real-engineering-transformation/</guid>
				<description>Transforming legacy engineering to modern DevOps requires a flexible, evidence-based approach focused on testing hypotheses, starting with the most challenging products, and automating every step from code commit to production. Involve all stakeholders to define essential requirements, automate approvals and deployments, and use phased rollouts with real-time feedback to minimize risk. Focus on one improvement at a time, build a culture of continuous learning, and scale successful practices across the organization.</description>
			</item>
			<item>
				<title>The Crucible of Learning: Transforming Organizational Effectiveness Through DevOps</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/the-crucible-of-learning-transforming-organizational-effectiveness-through-devops/</link>
				<pubDate>Wed, 21 Aug 2024 07:00:19 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/the-crucible-of-learning-transforming-organizational-effectiveness-through-devops/</guid>
				<description>DevOps transformation delivers major benefits when organizations address technical debt, simplify systems, and empower teams to take ownership of change. Key outcomes include faster delivery, lower costs, and happier, more effective teams, but success requires upskilling and active participation rather than outsourcing the work. Development managers should prioritize regular refactoring and foster a culture of continuous improvement to achieve lasting results.</description>
			</item>
			<item>
				<title>Why Big Bang Rewrites Fail: How Sustainable Change and Engineering Excellence Transform Legacy Systems</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/why-big-bang-rewrites-fail-how-sustainable-change-and-engineering-excellence-transform-legacy-systems/</link>
				<pubDate>Mon, 08 Sep 2025 06:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/why-big-bang-rewrites-fail-how-sustainable-change-and-engineering-excellence-transform-legacy-systems/</guid>
				<description>Big Bang rewrites of legacy systems usually fail due to high costs, delays, and unchanged team mindsets, while incremental in-place improvements deliver ongoing value and reduce risk. Sustainable change comes from building a culture of continuous improvement and engineering excellence, where teams refactor and modernise systems piece by piece. Development managers should focus on fostering this culture and invest in gradual, disciplined transformation rather than risky all-at-once rewrites.</description>
			</item>
			<item>
				<title>Transforming Agility: How Azure DevOps Went from Two-Year Releases to 880,000 Deployments</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/transforming-agility-how-azure-devops-went-from-two-year-releases-to-880-000-deployments/</link>
				<pubDate>Thu, 06 Feb 2025 10:20:34 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/transforming-agility-how-azure-devops-went-from-two-year-releases-to-880-000-deployments/</guid>
				<description>Azure DevOps transformed from two-year release cycles to 880,000 deployments per year by adopting continuous delivery, shortening feedback loops, and using real-time data to guide decisions. This shift enabled rapid response to customer needs and market changes, helping them stay ahead of competitors. Development managers should focus on frequent, small releases and data-driven improvements to maximise value and agility.</description>
			</item>
			<item>
				<title>DevOps: The Practical Path to Modernising Legacy Systems Without Starting Over</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/devops-the-practical-path-to-modernising-legacy-systems-without-starting-over/</link>
				<pubDate>Mon, 02 Jun 2025 06:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/devops-the-practical-path-to-modernising-legacy-systems-without-starting-over/</guid>
				<description>DevOps enables organisations to modernise legacy systems without starting from scratch by introducing automation, continuous integration and deployment, and observability, which make change safer and more routine. These practices reduce bottlenecks, lower the cost of change, and help teams deliver improvements continuously. Development managers should focus on identifying friction points and adopting DevOps practices to make ongoing system improvements achievable and sustainable.</description>
			</item>
			<item>
				<title>Cloud Migration Without the Mayhem: How to Move Legacy Systems Safely and Set Your Teams Up for Success</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/cloud-migration-without-the-mayhem-how-to-move-legacy-systems-safely-and-set-your-teams-up-for-success/</link>
				<pubDate>Mon, 05 May 2025 06:00:53 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/cloud-migration-without-the-mayhem-how-to-move-legacy-systems-safely-and-set-your-teams-up-for-success/</guid>
				<description>Cloud migration works best when approached gradually, using a hybrid model to reduce risk and avoid simply moving existing problems to the cloud. Success depends on understanding both your technology and how your teams work, aligning people and processes, and focusing on long-term maintainability. Treat migration as an ongoing journey, not a rushed project, and invest in shared understanding and continuous improvement to ensure a smooth transition.</description>
			</item>
			<item>
				<title>Modernising Legacy Systems: How to Tackle Security Risks Without Breaking Your Business</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/modernising-legacy-systems-how-to-tackle-security-risks-without-breaking-your-business/</link>
				<pubDate>Mon, 12 May 2025 06:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/modernising-legacy-systems-how-to-tackle-security-risks-without-breaking-your-business/</guid>
				<description>Modernising legacy systems is essential for security, but rushing the process can create new risks; instead, map your workflows, embed security throughout development, empower teams, and focus on maintainability and compliance. Treat security as an ongoing mindset, not a one-time task, and continuously adapt as threats evolve. Start by assessing how work and security practices flow in your organisation before making changes.</description>
			</item>
			<item>
				<title>Futureproof Leadership: How CTOs Can Cut Through the Noise and Lead with Clarity, Confidence, and Culture</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/futureproof-leadership-how-ctos-can-cut-through-the-noise-and-lead-with-clarity-confidence-and-culture/</link>
				<pubDate>Fri, 18 Jul 2025 06:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/futureproof-leadership-how-ctos-can-cut-through-the-noise-and-lead-with-clarity-confidence-and-culture/</guid>
				<description>CTOs should focus on what matters by making work systems visible, using evidence to guide decisions, and fostering a resilient, adaptable culture rather than chasing every new trend. Building clarity, confidence, and the right team habits enables better alignment with business goals and reduces stress. Consider partnering with an experienced coach to help navigate change and build a system that evolves with your needs.</description>
			</item>
			<item>
				<title>Modernising Legacy Systems: A Practical, Low-Risk Strategy for Real Business Transformation</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/modernising-legacy-systems-a-practical-low-risk-strategy-for-real-business-transformation/</link>
				<pubDate>Mon, 09 Jun 2025 06:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/modernising-legacy-systems-a-practical-low-risk-strategy-for-real-business-transformation/</guid>
				<description>Modernising legacy systems should be a strategic, low-risk process focused on understanding both technical and workflow bottlenecks, not a risky full replacement. Incremental changes, targeted automation, and addressing process issues often deliver the best results while minimising disruption. Development managers should map how work flows through their systems, prioritise fixes that offer the most value, and shift from reactive firefighting to proactive improvement.</description>
			</item>
			<item>
				<title>Create your own path to Organisational Agility</title>
				<link>https://engineering-leadership.hinshelwood.com/articles/create-your-own-path-to-organisational-agility/</link>
				<pubDate>Thu, 11 Jan 2018 13:28:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/articles/create-your-own-path-to-organisational-agility/</guid>
				<description>A one-size-fits-all agile framework rarely works because every organisation’s path to agility is unique; instead, you should define a clear vision, form a cross-functional change team, and use an incremental, evidence-based approach to improvement. Broad, consistent training across all levels ensures everyone understands and supports the change, while involving stakeholders in identifying and prioritising impediments helps create a relevant organisational change backlog. To succeed, secure executive buy-in, empower teams to drive change, and focus on continuous, measurable improvements tailored to your context.</description>
			</item>
			<item>
				<title>DOD has made it illegal to do waterfall</title>
				<link>https://engineering-leadership.hinshelwood.com/articles/dod-has-made-it-illegal-to-do-waterfall/</link>
				<pubDate>Tue, 01 May 2018 01:02:03 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/articles/dod-has-made-it-illegal-to-do-waterfall/</guid>
				<description>The US Department of Defense has updated its procurement rules to require agile, iterative development instead of traditional waterfall methods, following high-profile failures like the FBI’s Sentinel project. Agile approaches have proven to deliver higher success rates, lower costs, and reduced risk, and these changes are now influencing government and vendor practices across the US and UK. Development managers working with government clients should adopt agile methods to align with new regulations and improve project outcomes.</description>
			</item>
			<item>
				<title>Professional Organisational Change at the Ghana Police Service</title>
				<link>https://engineering-leadership.hinshelwood.com/articles/professional-organisational-change-at-the-ghana-police-service/</link>
				<pubDate>Mon, 04 Sep 2017 13:09:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/articles/professional-organisational-change-at-the-ghana-police-service/</guid>
				<description>The Ghana Police Service is undergoing a major transformation to address long-standing issues by adopting a clear vision, a strategic framework based on Scrum, and empowering change agents across the organization. Top leadership, including the IGP and the President, are fully committed, and the approach emphasizes servant leadership, transparency, and adapting frameworks like Kanban to fit unique team needs. Development managers should note that lasting change requires a flexible framework rather than rigid methodologies, with leadership focused on enabling teams rather than controlling them.</description>
			</item>
			<item>
				<title>The Urgent Call for Agile Organisational Transformation</title>
				<link>https://engineering-leadership.hinshelwood.com/articles/the-urgent-call-for-agile-organisational-transformation/</link>
				<pubDate>Thu, 29 Jun 2023 09:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/articles/the-urgent-call-for-agile-organisational-transformation/</guid>
				<description>Traditional hierarchical structures are holding back organisations from adapting to today’s fast-changing markets, leading to slow responses and missed opportunities. Superficial agile transformations fail because they do not address deep-rooted command-and-control habits, causing apathy and repeated failure. To stay competitive, leaders should drive genuine organisational change by adopting decentralised, network-based models and commit to ongoing organisational refactoring and hygiene.</description>
			</item>
			<item>
				<title>Navigating the TFS to Azure DevOps Migration: Overcoming Compatibility Concerns with Confidence</title>
				<link>https://engineering-leadership.hinshelwood.com/videos/navigating-the-tfs-to-azure-devops-migration-overcoming-compatibility-concerns-with-confidence/</link>
				<pubDate>Wed, 06 Nov 2024 05:45:03 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/videos/navigating-the-tfs-to-azure-devops-migration-overcoming-compatibility-concerns-with-confidence/</guid>
				<description>Migrating from TFS on-premises to Azure DevOps is generally straightforward, with most compatibility concerns affecting older on-prem versions rather than the cloud. Key considerations include planning for the loss of unsupported customisations, ensuring code security during the transition, and evaluating how existing extensions will work in Azure DevOps. To ensure a smooth migration, assess your current setup, identify potential gaps, and proactively address customisation needs.</description>
			</item>
			<item>
				<title>Internal Developer Platform</title>
				<link>https://engineering-leadership.hinshelwood.com/tags/internal-developer-platform/</link>
				<pubDate>Mon, 24 Feb 2025 13:04:45 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/tags/internal-developer-platform/</guid>
				<description>An Internal Developer Platform (IDP) is a unified environment designed to enhance the development lifecycle by enabling teams to efficiently build, test, and deploy applications. Originating from the need to simplify infrastructure management and application dependencies, an IDP allows developers to concentrate on delivering value rather than dealing with operational challenges. This platform cultivates a collaborative and innovative culture, empowering teams to experiment and iterate quickly within a structured framework. By embedding best practices into the development process, an IDP promotes reliability and predictability in software delivery. It also facilitates continuous integration and continuous delivery (CI/CD) practices, which are vital for maintaining competitiveness in rapidly evolving markets. By automating repetitive tasks and standardising workflows, an IDP boosts productivity and shortens lead times, enabling organisations to swiftly adapt to changing customer demands. Ultimately, the long-term advantages of an Internal Developer Platform lie in its capacity to foster a sustainable development ecosystem that aligns with organisational objectives, thereby driving innovation and operational excellence. This alignment is essential for nurturing a resilient and adaptive organisational culture focused on continuous improvement and value delivery.</description>
			</item>
			<item>
				<title>Digital Transformation</title>
				<link>https://engineering-leadership.hinshelwood.com/tags/digital-transformation/</link>
				<pubDate>Tue, 11 Feb 2025 10:17:24 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/tags/digital-transformation/</guid>
				<description>Digital Transformation refers to the strategic integration of modern digital technologies within organisations to improve agility and foster innovation. This process goes beyond merely adopting new tools; it fundamentally alters operational frameworks, enabling organisations to swiftly adapt to market dynamics and customer demands. By embedding digital solutions across various processes, teams can optimise workflows, enhance collaboration, and improve decision-making capabilities. This transformation is vital for delivering consistent and sustainable value, as it aligns technological advancements with business objectives, ensuring that all initiatives contribute meaningfully to overarching goals. It empowers teams to utilise data-driven insights, promoting continuous improvement and a culture of experimentation. Unlike Agile Transformation, which is centred on implementing Agile methodologies, Digital Transformation encompasses a wider scope, affecting every aspect of an organisation. Its long-term, systemic nature necessitates a commitment to ongoing evolution rather than a singular project, fostering an environment conducive to innovation. By embracing Digital Transformation, organisations can not only keep pace with competitors but also establish themselves as leaders in their markets, enhancing their resilience and adaptability in an increasingly complex and uncertain landscape.</description>
			</item>
			<item>
				<title>Agentic Software Delivery</title>
				<link>https://engineering-leadership.hinshelwood.com/tags/agentic-software-delivery/</link>
				<pubDate>Tue, 21 Jan 2025 10:00:00 +0000</pubDate>
				<guid>https://engineering-leadership.hinshelwood.com/tags/agentic-software-delivery/</guid>
				<description>Agentic Software Delivery is a strategy for continuously achieving business outcomes through the deliberate integration of autonomous AI agents, human expertise, and organisational context. It is not about automation for automation&amp;rsquo;s sake, but about enabling teams to move faster and smarter by embedding proactive, context-aware intelligence into their systems of work. The term &amp;lsquo;agentic&amp;rsquo; implies more than assistance, it implies agency. These agents operate autonomously within defined boundaries, learning from data, adapting to patterns, and making context-informed decisions. They contribute meaningfully to outcomes across discovery, development, delivery, and operations. This approach relies on the synergy between domain experts and AI agents, requiring lean, empirical systems of work, strong product strategy, and modern engineering practices such as CI/CD, observability, infrastructure as code, and automated testing.</description>
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