Cloud Migration Without Downtime
The lift-and-shift is the easy part. Moving a load-bearing system to AWS while it keeps serving real money succeeds on the verification scaffolding around it, not the move itself.
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Insights
Field reports on AI delivery reality, the verification gate that keeps agent output safe to ship, and buyer guidance for separating real tools from slop.
B2B Commerce at Catalogue Scale
A 300,000-product catalogue is not a bigger shop — it is a data-integrity problem wearing a storefront. Why scale is won on verification, not features.
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Shipping Software Into Regulated Finance
The constraint is never writing the code — it is proving the change is correct before it reaches production. How a verification stack turns that proof into speed.
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The Code Factory Needs a Foreman
Hundreds of agents now code around the clock — but the unattended factory that ships to production on its own does not exist. Why verification, not generation, is the real constraint.
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AI is a Confidence Amplifier
AI removes the friction that used to tell people they were out of their depth. The cliff is still there — they just can't see it anymore. What METR, Dunning-Kruger research, and a year of vibe-coding incidents reveal.
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Chatbot or MCP Server
The default AI feature is a chat panel pinned to the right of the product. For most SaaS teams, that's the wrong place to start. Why MCP server first wins on composability, cost, and discipline.
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Why AI Agents Need Specifications
Spec-Driven Development frameworks promise structure but mostly deliver overhead. What actually works for production teams using AI agents.
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The AI Reckoning
When the supply side admits the demand side was right. 56% of CEOs report no significant financial benefit from AI as the hype meets reality.
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AI Slop & ChatGPT Skins
A buyer's guide to not wasting money. How to spot the 90% of AI products that are just dressed-up API wrappers sold at enterprise prices.
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The $1 Trillion Reality Check
Why 95% of companies see zero returns on AI investments despite tens of billions spent. The collision of market panic and operational reality in 2025.
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Why Broad Fluency Now Beats Deep Specialisation
How AI is democratising software development by making cross-technology fluency accessible to all developers.
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Model Context Protocol
Discover how MCP is revolutionizing AI data integration with a universal standard that connects AI systems to any data source.
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CI/CD & QA for AI
Why robust CI/CD pipelines and automated QA are critical for AI-assisted software development in 2025.
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What AI Is and When It Is Worth Using
AI is a toolbox, not a miracle cure. What it is good for, what it is not, and the verification-cost test for telling the difference.
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