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Perspectives on agentic AI, coding agents, cloud architecture, and building technology platforms that scale — from our work with enterprise teams.
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Building Deterministic Agentic Workflows: Practical Control
How to design agentic AI systems that balance autonomy with deterministic control — moving from unpredictable demos to reliable, production-grade autonomous workflows.
Decoding OpenClaw
A deep-dive into the OpenClaw framework — understanding its architecture, capabilities, and implications for building open AI systems.
Running Coding Agents: Local LLM vs Global
A practical comparison of running coding agents on local LLMs versus cloud-hosted models — trade-offs in latency, cost, privacy, and code quality.
Code Agents as Co-Developers: A New Operating Model
Exploring the shift from AI-assisted coding to AI agents that act as genuine co-developers — and the new operating models teams need to adopt.
Inside X's 'For You' Recommendation Engine: A Modern Blueprint for Feeds
Analysing how X (formerly Twitter) architected its recommendation engine — and what platform teams can learn for building personalised content feeds at scale.
Involving More Agents Doesn't Scale: Autonomous Coding
Why throwing more AI agents at a problem doesn't guarantee better results — and the architectural patterns that actually make autonomous coding work at scale.
Building Systems at Scale
Lessons from engineering systems that handle millions of users — covering architecture patterns, trade-offs, and the disciplines that separate prototypes from production.
Best of Cloud-Native: 10 Years of Lessons Building On-Prem PaaS
A decade of hard-won lessons building Platform-as-a-Service on-premises — what cloud-native principles translate, what doesn't, and what's next.
AI is Moving Fast, But There's Space to Build
Cutting through the noise of rapid AI advancement — identifying the stable foundations worth building on versus the moving targets that aren't ready for production.
AI Options for Development Tools
A landscape overview of AI-powered development tools — comparing approaches, evaluating maturity, and identifying which options deliver real productivity gains today.
AI Evaluation: The Critical Path
Why rigorous evaluation is the most underinvested part of AI adoption — and a practical framework for measuring AI system performance in production.
Enterprise Architecture Through an AI Lens
How AI is reshaping enterprise architecture practice — from decision-making frameworks to system design patterns that enable intelligent automation at scale.
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New articles on agentic AI, coding agents, cloud architecture, and enterprise technology — published regularly.
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