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3523: From Chaos to Clarity, Valiantys on Making AI Work for Developers

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Manage episode 524867381 series 80936
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

How much value do your developers actually get to deliver in a typical week, and how much of their time is quietly lost to meetings, context hunting, and process drag?

I'm joined by Phil Heijkoop, Global Practice Head of Developer Experience at Valiantys, for a conversation that cuts through the hype surrounding AI and asks a harder question about why so many engineering teams still struggle to see meaningful returns.

Phil argues that most organizations are only unlocking a small fraction of a developer's true contribution, not because of a lack of talent, but because process drag slowly squeezes out deep, focused work. AI, he explains, does not fix this by default. Without the right foundations in place, it simply accelerates the wrong work at scale.

We explore the long shadow cast by the "move fast and break things" mindset and why that philosophy becomes risky inside regulated, enterprise environments where resilience and trust matter more than speed alone. Phil shares what he sees when organizations chase shiny new tooling while ignoring technical debt, unclear standards, and fragile workflows.

From protecting uninterrupted time for deep work to automating manual friction points and setting shared guardrails, he outlines how teams can realistically unlock three to five times more output before AI even enters the picture. Only then, he says, does AI act as a multiplier rather than a source of chaos.

The conversation also digs into developer experience as a business lever, not a perk, and why leadership clarity, cultural trust, and consistent standards matter as much as tooling choices. We discuss the growing risks in the software supply chain, the sustainability of open source dependencies, and what recent high-profile retirements signal for enterprise teams that depend on them.

If AI is accelerating your organization in the wrong direction, what foundational changes would you need to make today to ensure it amplifies value instead of friction, and how honest are you willing to be about what is really slowing your teams down?

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Tech Talks Daily is sponsored by Denodo

  continue reading

2056 episodes

Artwork
iconShare
 
Manage episode 524867381 series 80936
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

How much value do your developers actually get to deliver in a typical week, and how much of their time is quietly lost to meetings, context hunting, and process drag?

I'm joined by Phil Heijkoop, Global Practice Head of Developer Experience at Valiantys, for a conversation that cuts through the hype surrounding AI and asks a harder question about why so many engineering teams still struggle to see meaningful returns.

Phil argues that most organizations are only unlocking a small fraction of a developer's true contribution, not because of a lack of talent, but because process drag slowly squeezes out deep, focused work. AI, he explains, does not fix this by default. Without the right foundations in place, it simply accelerates the wrong work at scale.

We explore the long shadow cast by the "move fast and break things" mindset and why that philosophy becomes risky inside regulated, enterprise environments where resilience and trust matter more than speed alone. Phil shares what he sees when organizations chase shiny new tooling while ignoring technical debt, unclear standards, and fragile workflows.

From protecting uninterrupted time for deep work to automating manual friction points and setting shared guardrails, he outlines how teams can realistically unlock three to five times more output before AI even enters the picture. Only then, he says, does AI act as a multiplier rather than a source of chaos.

The conversation also digs into developer experience as a business lever, not a perk, and why leadership clarity, cultural trust, and consistent standards matter as much as tooling choices. We discuss the growing risks in the software supply chain, the sustainability of open source dependencies, and what recent high-profile retirements signal for enterprise teams that depend on them.

If AI is accelerating your organization in the wrong direction, what foundational changes would you need to make today to ensure it amplifies value instead of friction, and how honest are you willing to be about what is really slowing your teams down?

Useful Links

Tech Talks Daily is sponsored by Denodo

  continue reading

2056 episodes

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