Insights &
ideas.
Thoughts on AI, software engineering, and the future of technology.
AI Agents Join the Workday: What October's Announcements Mean for SaaS
AI agents are moving into the tools teams already use, while the economics of AI come under scrutiny. Here's what that means if you build or buy software.
Read article →When AI Labs Hit Pause: Building Products That Survive Model Changes
September's push to slow frontier AI development is a reminder that the models behind your product can change without notice. Here's how to stay resilient.
Read →Prepare Your SaaS Product for Its Next Stage of Scale
The architecture, operations, and product practices that help a SaaS platform grow without turning every launch into a risk.
Read →AI Is Now a Top Cloud Security Threat: What to Fix First
The Cloud Security Alliance's 2026 Top Threats report puts identity and AI at the top of the list. Here's a practical response for small and growing teams.
Read →Where AI Agents Belong in Business Workflows
How to introduce AI agents into repetitive business processes with clear boundaries, useful oversight, and measurable results.
Read →Cut Cloud Costs Without Cutting Reliability
A disciplined approach to cloud cost reduction that protects performance, availability, and engineering momentum.
Read →A Practical Security Baseline for SaaS Teams
A focused security baseline that helps SaaS teams protect customer data without slowing product delivery.
Read →AI That Uses Software Like a Person: What Computer Use Means for Your Product
AI agents can now operate desktop, mobile and browser interfaces directly. Here's where that helps, and the guardrails it needs.
Read →Integrate AI Responsibly Into Customer Products
A practical framework for shipping useful AI features with transparency, privacy, oversight, and measurable safeguards.
Read →The Subscription Metrics That Explain Growth
A practical scorecard for understanding acquisition, retention, expansion, and the economics behind a subscription product.
Read →Turn SaaS Onboarding Into a Fast First Win
A hands-on approach to helping new customers reach value quickly through focused setup, guidance, and useful product signals.
Read →Open-Weight Models Are Ready for Real Products
Google's Gemma 4 release is a reminder that capable open models are now a practical option. Here's how to decide between an open model and a hosted API.
Read →A Practical Guide to Multi-Tenant SaaS Architecture
The architectural decisions that keep tenant data isolated, deployments predictable, and a growing SaaS efficient to operate.
Read →Where AI Automation Creates Real Operating Leverage
How to identify repeatable work that AI can improve safely, with practical guardrails for measurable automation.
Read →Plan a SaaS MVP That Learns Before It Scales
A practical framework for choosing an MVP scope, validating demand, and building a foundation that can grow with real customer evidence.
Read →The Future of AI in Software Development
How artificial intelligence is reshaping the way we write, test, and deploy software applications.
Read →Cloud-Native Development Best Practices
Essential strategies for building applications that fully leverage cloud infrastructure for maximum reliability.
Read →Machine Learning Models in Production
Practical lessons learned from deploying ML models at scale, from training pipelines to real-time inference.
Read →Building Scalable Apps with Modern Architecture
A deep dive into the architectural patterns that power today's most resilient and performant applications.
Read →