ISHIR | Software Development India

Retrieval-Augmented Generation solved an important enterprise AI problem.

It gave large language models a way to retrieve company-specific information before answering a question.

Instead of relying only on training data, an

AI coding assistants are accelerating software development. But if your senior engineers cannot review, validate, and understand the code being generated, are you improving engineering productivity or simply accumulating technical debt faster?

AI-generated code has changed the economics of software development. Tools such as GitHub Copilot, Claude Code, Cursor, and Ama...

In 2027, AI stops being a pilot budget line. It becomes an operating cost, a security surface, a compliance obligation and an energy problem, all at the same time.

The money is already moving. Gartner forecasts worldwide AI spending of about $2.59 trillion in 2026, up 47%, and roughly $3.3 trillion in 2027. Most of that spend so far has come from hyperscalers and vendo...

Your application still works. Customers can log in, transactions go through, and the business keeps moving. But every new feature takes longer than expected. Developers hesitate before touching certain modules. Production bugs keep resurfacing. A framework upgrade that should take weeks becomes a quarter-long project.

Then someone finally says what everyone already sus...

For decades, enterprise data architecture made one assumption that nobody had to write down.

A human would eventually look at the data.

A data engineer would build the pipeline. An analyst would understand the schema. A BI developer would define the metric. A busin...