Illustration for the Sazko Solutions article on AI-assisted coding in brownfield versus greenfield software projects
Posted on Author Mahesh Kumar Categories AI, App Development, Software

AI-Assisted Coding: Brownfield vs. Greenfield Projects

July 2026 brought another wave of coding-focused model releases promising near-frontier capability at lower cost. They’re genuinely good — and they make the gap between greenfield and brownfield work more visible, not less. Most conversations about AI-assisted coding default to the easy case: a brand-new codebase, a clean slate, and a coding agent that scaffolds an app in minutes. That’s greenfield work, and it’s genuinely where tools like GitHub Copilot, Cursor, and Claude Code look most impressive. The harder and far more common reality for most engineering teams is brownfield: an existing system with years of undocumented decisions, tangled dependencies, and business logic nobody fully remembers the reason for.

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Illustration for the Sazko Solutions article on AI sovereignty and data residency
Posted on Author Mahesh Kumar Categories AI, Consultancy, Digital

AI Sovereignty: Why It Matters Where Your Models and Data Run

By mid-2026, governments were signing bilateral deals treating AI compute as national infrastructure. That framing has a smaller-scale version every organisation should think about. “AI sovereignty” gets used in two overlapping ways, and it’s worth separating them. At the national level, it’s about a country’s ability to develop, host, and govern AI capability without depending entirely on foreign infrastructure or providers. At the organizational level — the one that affects most engineering and IT leaders directly — it’s a narrower and more practical question: when your product sends data to a model, where does that data actually go, who can access it, and what happens to your business if that arrangement changes without your consent?

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Sazko Solutions article on regulated industries owning AI models in-house, June 2026
Posted on Author Mahesh Kumar Categories AI, Consultancy, Digital

Own the Model, Own the Trust: What Mayo Clinic’s AI Deal Says About Regulated Industries

In June 2026, Microsoft deployed a customised version of a frontier model inside Mayo Clinic’s own network, with the clinical model owned entirely by Mayo Clinic to protect patient records and preserve trust. The arrangement is a template a lot of regulated organisations are going to want, and it’s worth understanding why.

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Sazko Solutions article on long-running AI agents that improve between sessions, mid-2026
Posted on Author Mahesh Kumar Categories AI, Software

Agents That Learn Between Sessions: The Move to Long-Running AI Workflows

In May 2026, Anthropic described a technique it called “dreaming” — letting an autonomous agent review its own past behaviour between sessions, spot patterns, and adjust how it works next time. It’s part of a broader industry push toward agents that handle long-running workflows in areas like coding, finance and legal work, rather than one-shot tasks. That shift changes what you have to build around an agent.

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Sazko Solutions article on Chinese open-weight AI models leading third-party usage in May 2026
Posted on Author Mahesh Kumar Categories AI, Consultancy, Digital

Open-Weight AI Just Went Chinese-Led. What That Means for Your Architecture

In May 2026, reporting on OpenRouter — one of the most-used third-party model routers — showed that models from Chinese labs accounted for around 60% of all usage on the platform, making the open-weights tier effectively Chinese-led. For teams that use open models, this isn’t a geopolitical talking point; it’s an architecture and compliance question that needs an answer.

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