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How AI is changing software delivery.

Practical articles from the Sails Software team on agentic AI, GenAI, specifications, testing and running AI in production.

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Developer reviewing code on screen
Software delivery

The hidden cost of AI-generated code

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Engineer typing on a laptop
Architecture

React beyond Next.js

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Two engineers reviewing a specification on screen
Software delivery

Spec first, code second: a practical blueprint for eliminating implementation drift

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Team working in a modern operations room
Leadership

AI doesn't replace work. It redefines how we create value.

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Quality engineer pointing to test results on screen
Testing

Heal the locator, not the truth

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Engineer focused on a monitor at night
Software delivery

The spec is the prompt: why specifications are becoming the primary artifact of software delivery

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Software delivery

From Jira ticket to production: how AI is changing the software development lifecycle

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Testing

From 25% to 100% test coverage in 2 weeks, without writing a single line of code

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Architecture

Sustainable AI coding with DDD and modular monoliths

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Leadership

AI shifts effort. It doesn't shift responsibility.

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Agentic AI

How MCP is changing the AI landscape, and what it means for enterprise software

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GenAI and ML

Generative AI for enterprise: from pilot to production in 2026

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Testing

AI migration testing: ensuring trust, accuracy and intelligence in platform transformation

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Agentic AI

How to deploy agentic AI in enterprise: a 6-phase implementation roadmap

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Leadership

Growing leadership in an AI-first world

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Leadership

Not every role can be "AIded", and that is okay

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Agentic AI

Agentic AI vs generative AI: key differences for enterprise decision-makers

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Agentic AI

What is agentic AI? A plain-English guide for enterprise leaders

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GenAI and ML

The myth of '100% accuracy' in document AI

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Events

From possibility to profitability: Sails Software's point of view from APDTS26

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Cloud and SaaS

10 essential strategies for SaaS cost management in 2025

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GenAI and ML

Retraining an AI model: keeping it up to date with a changing world

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