Coming up:
Free live AI webinar | AI Developer tools usage & ROI on March 31st
New data: AI usage and measuring AI ROI
Sourced through an independent, global survey of 11,880+ software developers
✅ Tuesday, March 31, 2026
✅ Live briefing + Q&A
✅ Recording + slides sent to all registrants
✅ First time showing data to be published in Q2

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AI developer tools adoption, satisfaction & what to expect in 2026, based on data
AI coding tools are now mainstream: 69% of professional developers who responded to our survey use them for most or nearly all of their coding work.
At the same time:
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Product managers and AI coding tools PMMs lack clarity about what features drive developer engagement and performance
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Developer team leads struggle to choose a tool to adopt, which could make or break their team’s current productivity.
In this session, we unpack clear signals and what these mean for developer-facing activities around AI coding tools.
Register to access the live briefing + a Q&A session with Bleona Bicaj.

Why you can't get this
from an AI search
In this webinar | In a typical AI search |
|---|---|
Results from a structured study of 200+ questions tracked across 20 years | Summaries of publicly available articles or opinions |
Comparisons across tools measured using the same survey design and methodology | Fragmented information from different sources using different metrics |
Signals about how professionals measure ROI based on real use cases and validated responses | Publicised internal telemetrics or calculated guesses |
Interpretation from the analysts who designed the research and analysed the dataset | Synthesised summaries without context about how the data was generated |
Discussion of patterns emerging across the AI developer and coding tools usage | Summaries based on tool provider announcements |
Opportunity to ask questions about what the findings mean for your product or strategy | AI guesses based on popular breakdowns |
Why you can't get this
from an AI search
1. AI usage
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How developers are interacting with AI technologies in Q1 2026
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Trends on developers' interaction with AI technologies
2. AI ROI
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Do senior engineering leaders believe AI coding tools are worth the investment?
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Are organisations actually tracking whether AI tools deliver, or relying on instinct?
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Among measurers, how structured is that process – and does "we measure it" mean anything consistent across the market?
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How does measurement maturity differ between different company sizes?
3. Introducing: AI Developer Tools Benchmark
We know that choosing the right AI developer tool, or making the case for one internally, is harder than it should be. There's a lot of noise, a lot of vendor claims, and not enough independent signal. That's exactly why we built the AI Developer Tools Benchmark. It is a rigorous, survey-based study that gives engineering leaders and product teams a clear, comparable view of how today's leading AI coding tools actually perform: across productivity, trust, quality, and value.
Real data from real developers so that you can make decisions with confidence.
Presenter

Bleona Bicaj, Principal Research Consultant & Product Strategist
Bleona is a research consultant, enthusiastic about product strategy and behavioural science. She holds a Master’s in Economic and Consumer Psychology. With more than 6 years of professional experience as an analyst, she has worked across quantitative and qualitative research studies, turning complex data into clear narratives that inform better products, smarter investments, and long-term growth.
Methodology & data source
Developer Nation 31st edition reached over 11,880 respondents around the world. As such, the Developer Nation series continues to be the most comprehensive independent research on mobile, desktop, Industrial IoT, consumer electronics, 3rd party app ecosystems, cloud, web, game, AR/VR and machine learning developers and data scientists combined ever conducted. All insights are based on the large-scale online developer survey designed, produced and carried out by SlashData over a period of six and a half weeks between December 2025 and January 2026.
All SlashData surveys are monitored and cleaned to ensure the highest standards of retained responses. Our proprietary cleansing is designed to mitigate and remove opportunistic, fraudulent, and bot responses. Consisting of multiple criteria formulated around logic rules, speed, consistency, and response-taking behaviour, this holistic
assessment is key to ensuring the highest degree of data quality.
FAQs about the webinar
Yes. Registrants receive the recording and slides after the session, so you can still use the content internally but you will miss the ability to interact during the QnA section and the chance to connect with the speakers.
A confirmation and access details via Luma, plus delivery of the free benchmark snapshot as part of the registration flow.
Of course. The recording and slides are designed to power decisions, so all insights are presented in a way that encourages discussion and internal circulation across engineering, product, procurement, and finance stakeholders.
This webinar covers the benchmark signals and how to interpret them for strategic decisions. Deeper data cuts, dashboards and tailored competitive benchmarkings are available exclusively through an analyst briefing. Contact us to organise a walkthrough of the available insights you can access.











