Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Discover how agentic AI platforms are reshaping engineering velocity, compliance, and scaling in 2025. A must-read for CTOs and tech leaders.
Learn how AI reshapes the build vs buy decision for scaling engineering teams. Explore cost, velocity, and risk tradeoffs with AI-augmented development.
Learn how AI governance works inside high-velocity engineering orgs. Explore frameworks, risks, and best practices for scaling AI adoption safely.
Explore how SRE changes when AI agents self-heal most systems. Learn new responsibilities, risks, and future roles for reliability engineers.
Learn how AI-augmented engineering teams are changing investor expectations. Explore what VCs and boards now prioritize in product companies.
Learn why CTO dashboards must be redesigned for AI-augmented engineering. Explore new metrics, governance, and best practices for tech leaders.
Learn how observability evolves when AI agents resolve half your incidents. Explore new metrics, governance, and best practices.
Discover the new compliance risks introduced by AI-generated features and how to mitigate them. A guide for CTOs and engineering leaders.
Explore whether multi-agent architectures can replace traditional DevOps. Learn benefits, risks, and future trends in AI-augmented delivery.
Learn how to prevent AI-augmented engineering teams from creating more technical debt. Explore governance, best practices, and ROI frameworks.
Explore whether AI-first QA marks the end of manual testing. Learn benefits, risks, and best practices for building AI-augmented quality assurance teams.
Learn which engineering metrics remain relevant when AI handles half the workflow. Explore how to adapt measurement for AI-augmented teams.
Learn how to audit shadow AI projects before they harm compliance, security, or budgets. Explore best practices for CTOs and engineering leaders.
Learn how to optimize LLM usage without slowing product teams. Explore cost levers, performance tradeoffs, and AI-first engineering practices.
Many GenAI pilots fail to generate ROI. Learn the common pitfalls and strategies to design successful AI pilots that scale.
How engineering leaders use showback and chargeback to control cloud spend and drive team accountability.
Discover the top cloud cost levers for AI workloads in 2025. Learn how to manage GPU costs, storage, and inference efficiency with FinOps and AI agents.
Discover how AI agents enable real-time FinOps. Learn benefits, risks, and best practices for cloud cost optimization in 2025.
Learn the best incident response patterns when autonomous AI agents can make changes in production. Explore governance, risks, and strategies for tech leaders.
Learn how to measure software delivery performance when AI writes your tests. Explore impacts on DORA metrics, quality, and engineering velocity.
Learn when to migrate from microservices to a modular monolith using AI-assisted engineering. Explore benefits, risks, and best practices for scaling product platforms.
Learn how to adapt CI/CD pipelines for multi-agent workflows. Explore architecture patterns, risks, and best practices for engineering leaders.
Explore how AI-native platform engineering is redefining DevOps and developer experience in 2025. Learn trends, use cases, and best practices for scaling product teams.
Learn which engineering tasks deliver the highest ROI when automated with AI, and which tasks are risky. A practical guide for CTOs and senior engineering leaders.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
