Marshall Tech
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The no-code vs custom code debate is a false binary. Prototype with no-code, validate product-market fit, then rebuild the customer-facing product in custom code. Internal tools stay on no-code. Best of both worlds.

On choosing between no-code and custom development

Nick Hugh

Founder, AI Expert & Fractional CTO, Marshall Tech

Nick Hugh, AI Expert & Fractional CTO at Marshall Tech, Sydney

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Insight

No-Code vs Custom Code: When to Choose Each in 2026

Choose no-code for internal tools, MVPs, and workflows where speed-to-market matters more than customisation. Choose custom code when you need complex business logic, high performance, data control, or deep integrations. Most growing businesses use both: no-code for rapid prototyping and internal tools, custom code for customer-facing products.

Updated 26 Feb 2026

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Service

Custom Software & App Development

Marshall Tech builds production-grade custom software, web applications, and API-first platforms for businesses that need more than a brochure site or template tool. We design the backend, frontend, and infrastructure around your workflow so the product can launch quickly and scale without a rewrite.

Updated 26 Feb 2026

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Expert

Nick Hugh

Nick Hugh, AI Expert & Fractional CTO at Marshall Tech, Sydney

Updated 9 Apr 2026

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Insight

Build vs Buy: A Decision Framework for Business Technology

Build when the capability is your competitive advantage, when no off-the-shelf solution fits your workflow, or when platform lock-in is an unacceptable risk. Buy when the function is commodity (accounting, email, project management), when time-to-value matters more than customisation, or when the vendor's R&D investment exceeds what you'd spend building. Most businesses should build 10–20% of their stack and buy the rest.

Updated 26 Feb 2026

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Case study

UNDR CTRL: Simplifying the Platform & Bringing It In-House

UNDR CTRL needed a partner to help simplify their existing platform, build out some new features, and move away from their previous development provider. Marshall Tech worked closely with the team over several months to tidy up the codebase, ship new functionality, and hand over a cleaner, more manageable product.

Updated 21 Mar 2026

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Insight

MCP Explained: What Model Context Protocol Means for Your Business

Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools, databases, and APIs through a universal interface. Think of it as USB for AI: one protocol, any tool, any model. MCP eliminates vendor lock-in and enables businesses to build tool integrations once and use them across any AI platform.

Updated 26 Feb 2026

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