Notes from our team on AI, cloud architecture, mobile development and the day-to-day practice of shipping software.
AI coding assistants are no longer a novelty — they're a competitive necessity. But most teams are using them wrong. Here's the day-to-day framework we use to ship faster without sacrificing code quality.
Retrieval-Augmented Generation is powerful but fragile. From our work on Blogger Prompt and Scribe, here are the patterns that separate reliable production systems from demo-ware.
After helping teams eliminate deployment downtime, we've distilled the process into a repeatable checklist. Blue-green, canary, feature flags — here's when to use each.
The difference between a distributed team that delivers and one that doesn't comes down to three things: timezone overlap, communication cadence, and how seriously you take onboarding.
We've migrated a number of production workloads across all three. Here's our honest, opinionated breakdown of when to choose AWS, Azure, or GCP — and the hidden costs nobody talks about.
We've shipped production apps in both. Here's our unfiltered comparison covering performance, developer experience, ecosystem maturity, and when to choose each.
Traditional outsourcing optimises for cost. Staff augmentation optimises for outcomes. Here's why the difference matters — and how to tell which engagements call for which model.
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