December 12, 2025 Squad Session Squad Only Physical english
Everyone wants value for money. But in IT, that value is spread across infrastructure, software, services, and people. Your infra spend is creeping up. App maintenance is eating your budget. New development is exciting but comes with hidden overhead. And people costs, from operations to engineering, remain the largest, most overlooked slice. If you’re under pressure to optimise without compromise, this session brings the right questions, trade-offs, and shared lessons to the table.
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January 13, 2026 Squad Session Invitation Only Virtual english
Migrating legacy systems to the cloud remains one of the toughest balancing acts in IT. Every choice affects stability, cost, and trust at once, and what starts as a modernisation effort quickly turns into a negotiation between ambition and reality. Suddenly budgets rise, dependencies appear late, and timelines tighten as old architectures collide with new expectations. In the end, success depends on sequencing, ownership, and aligning business priorities with infrastructure limits, and not only on technical readiness. Making it work requires more than a plan on paper. Knowing which systems genuinely belong in the cloud, which can wait, and which should stay put shapes the entire roadmap and defines its success. Each refactoring decision sets the level of future flexibility, but it also drives cost and risk. The trade-offs between speed, sustainability, and resilience only become clear once migration begins and pressure builds. Let’s discuss how to plan migrations that stay on track, manage hidden dependencies, and handle downtime with confidence. Let’s also discuss how governance, testing, and vendor coordination keep progress visible and credible. Are you in? A closed conversation for those who turn cloud migration from a disruption into a long-term advantage.
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January 22, 2026 Squad Session Invitation Only Virtual english
AI coding assistants entered development teams quietly, but their impact grows by the day. What started as autocomplete now shapes architecture decisions, documentation, and testing. And when productivity gains are visible, so are new risks: security blind spots, uneven quality, and the slow erosion of shared standards. Teams move faster, but not always in the same direction. The challenge has become integration rather than adoption. And new questions have risen: how do you blend automation into established practices without losing oversight? When is human review still essential, and what should the rules of collaboration between developer and machine look like? As AI tools learn from proprietary code, where do responsibility and accountability sit? Let’s talk about how to redefine those workflows, balancing creativity with control, and protecting code quality in a hybrid human-AI environment. A closed conversation on where AI accelerates progress, where it introduces new debt, and how development culture must evolve to stay credible.
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