long-term
3 stories filed under long-term on Beyond Market Intelligence. The newest of them: “Twenty Years of Platform Lessons: Building for Resilience Without the Complexity”, “Treat Context Like Code to Scale AI Agents With Control”, and “Three Criteria for Choosing Skills Over Sub-Agents in AI Design”. Twelve principles. Patrick Debois proposes something quietly radical: treat context like code. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every long-term story on Beyond Market Intelligence, newest first.
Twenty Years of Platform Lessons: Building for Resilience Without the Complexity
Twelve principles. That's what Matthew Liste distills twenty years of platform engineering into, a practical framework for building scalable, reliable infrastructure without drowning in complexity. His focus on avoiding technical debt, managing deprecation, and nurturing engineering culture speaks directly to the tension senior architects feel daily. This isn't about abstract theory; it's about streamlining developer workflows and delivering lasting value. For those wrestling with legacy systems, his approach feels like a clear path forward.
Treat Context Like Code to Scale AI Agents With Control
Patrick Debois proposes something quietly radical: treat context like code. For engineering leaders wrestling with non-deterministic AI agents, his argument lands with clarity. Apply testing, CI/CD, package managers, and security scanning to context itself. That approach promises control without stifling innovation. It's a practical path to scaling AI agents reliably while building lasting organizational knowledge. For deeper exploration, our coverage of Amazon CloudWatch Omni shows how AI-first observability platforms are already putting similar principles into practice.
Three Criteria for Choosing Skills Over Sub-Agents in AI Design
Choosing the right building block for AI systems often comes down to fit, not flash. In a recent Azure Architecture blog post, lead engineer Kishorekumar Pattabiraman lays out practical criteria for deciding between skills and sub-agents, with reusability and long-term maintainability leading the way. It's a grounded take that cuts through the noise, favoring simplicity over cleverness. For those weighing similar trade-offs, this is the kind of clarity that helps teams move forward.