Edgeware Articles
Insights on AI, mobile,
and software delivery.
Practical writing from a team that builds software every day — on AI development, team dynamics, mobile engineering, and what actually works in practice.
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28 articles, page 1 of 3
What Is an AI Automation Assessment?
What an AI automation assessment covers, the signs your business needs one, how to prepare in 30 minutes, and what you should get out the other side.
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Why Vibe-Coded Apps Break in Production
Apps built with Lovable, Cursor or Claude work in the demo and fail with real users. The six failure patterns we see most, and how to check your own app.
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The Real Cost of AI-Built Software
AI made building software cheap, so the expensive part moved to running it. Where the long-term costs of AI-built systems sit and how to keep them under control.
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Connecting AI to Legacy Systems
Most AI projects stall on old systems, dirty data and undocumented APIs, not on the model. A practical approach to integrating AI with the systems you already run.
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Custom AI Model Development: A Guide
What custom AI model development actually involves: the phases of a real project, honest budgets and timelines, and how to tell a fit from a money pit.
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Writing a Spec When AI Writes the Code
When coding agents build exactly what they are told, the specification becomes the product. What a good spec contains now, and the parts teams still skip.
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FDE or Staff Augmentation? How to Choose
Forward deployed engineer or staff augmentation? How the two models differ in accountability, cost and fit, and the signals that tell you which one you need.
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AI Agents for Small Business: First Steps
Where should a small business deploy its first AI agent? Use cases with real payback, costs of platforms vs custom builds, and how to pick the first process.
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Do You Need to Fine-Tune an AI Model?
Fine-tuning sounds impressive, but most small and mid-size businesses never need it. An honest guide to prompts, RAG, and fine-tuning - and what each costs.
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