How Precisely is using Agentic AI to Reshape Software Development

Agentic AI is transforming software development from manual coding to orchestrating intelligent workflows. This shift demands new guardrails and human oversight. In this Enterprise Times podcast, Ulf Viney, EVP of engineering support and operations at Precisely, reveals how his team redefined their roles. They moved from writing every line to defining strict constraints while AI handles requirements, testing, and legacy modernisation.

Companies face a critical problem. Legacy systems create security risks, and developers waste time on mundane updates. Viney notes that AI can now rewrite library dependencies automatically, allowing engineers to focus on complex architecture instead. This change accelerates delivery. Precisely has seen a 40% surge in production pull requests between quarters.

Historical comparisons highlight this evolution. The 2000s saw tools attempt to generate code from plain language requirements. They failed because the generated code was rigid. Today, agentic models offer flexibility with developers guiding these agents rather than dictating every step.

However, Viney emphasises that deep domain knowledge remains vital. Tenured engineers act as product managers because they understand the “why” behind the code.

Among the benefits Precisely has seen are:

• Rapid prototyping teams build functional prototypes in days.
• Enhanced security AI scans for vulnerabilities faster than human teams.
• Cost efficiency reduces time on repetitive tasks and lowers operational costs.

To hear what else Ulf Viney had to say, listen to the podcast.

Where can I get it?

You can listen to the podcast by clicking on the player below. Alternatively, click on any of the podcast services below and go to the Enterprise Times podcast page.

 

 

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