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Dave Fletcher from LeadDev: what engineering leaders want from AI

LeadDev's research found 52% of engineering leaders planning to buy AI coding tools—but among senior leaders, demand for monitoring and observability is nearly as high because faster code generation has moved the bottleneck downstream.

Jack Bridger
Episode 19712:36

Dave Fletcher is the co-founder of LeadDev, whose events and research bring together thousands of engineering managers, directors, VPs and staff-plus engineers.

Recorded at LDX3 London, Dave shares what 150 interviews and a wider audience survey reveal about DevTool budgets, the infrastructure categories rising alongside AI coding tools, why AI-first positioning can repel technical buyers, and how credible teaching and in-person channels can cut through a crowded market.

The Q&A below is experimental — extracted from the episode transcript with AI. If you spot a mistake, let us know at jack@scalingdevtools.com.

Who attends LeadDev’s LDX3 event?

The London event brings together more than 2,500 engineering leaders, from engineering managers through directors and VPs to staff-plus and principal engineers. We believe it is the largest concentration of senior engineering leadership in the world. We run a similar event in New York and use continual audience research to program content around the problems those leaders actually face.

What are engineering leaders planning to buy?

Since January, we have conducted 150 qualitative interviews and paired them with a broader quantitative survey. About 52% of the audience says it plans to buy AI coding tools in the next 12 months. Around 20% is buying in core categories such as CI/CD, monitoring and observability, QA and testing. Those categories become even more prominent among directors and VPs.

Why is demand moving toward downstream tooling?

Code generation has been substantially automated, so the pain moves to getting that code into production, verifying it and keeping it reliable. Senior leaders are almost as interested in monitoring and observability as they are in AI coding tools. QA, reliability and security rise on the priority list as teams worry about losing control of code that has not received the same scrutiny as before.

What is risky about leading with an AI-first message?

Engineers and engineering leaders have strong bullshit detectors, especially around AI. Only a little over half of our audience has a positive view of it, so a large group of buyers will put barriers up when they see sweeping AI-first claims. The underlying pains—velocity, reliability and technical debt—rank much higher than implementing AI itself, so start with the problem the buyer already recognizes.

What kind of AI content does this audience want?

They want credible teaching: how a team achieved a result, what changed in the workflow and where the bottleneck moved. Liz Fong-Jones from Honeycomb gave a strong example by explaining the specifics of the company's AI adoption journey rather than announcing a huge headline number. Treat AI as part of the environment, then teach the concrete method for solving the new problem.

Which AI claims should DevTools marketers avoid?

Do not rely on generic promises to double or 10x velocity. Technical buyers are likely to laugh those claims out of the room. Show real examples, explain the mechanism and connect it to a specific constraint in production. The more technical the audience, even at an AI-focused event, the more important that specificity becomes.

Do attitudes differ significantly between the US and Europe?

There is somewhat more acceptance of the change in the US, along with some additional fear, and European buyers may care more about concerns such as data sovereignty. But the differences are not enormous: the hype detector exists on both sides of the Atlantic. Audience and seniority matter more—for example, a CIO may accept high-level benefits language that would alienate an engineering team.

Which go-to-market channels are gaining ground?

Digital channels are crowded, so companies are returning to in-person interactions: events, executive dinners, meetups and even thoughtful physical mail. Spending intent has improved too. Two years ago, 27% of our audience said budgets were increasing; now the figure is about 36%. The opportunity exists, but vendors still have to meet buyers in a setting where they can earn attention and trust.

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