SlashData - formerly VisionMobile Ltd

We are LIVE! 🔴
Join us now for “AI Is Transforming Developer Work. But Not Replacing Developers” and discover what the latest developer data reveals about AI adoption, trust, and the future of software development.

▶️ Watch live: https://www.youtube.com/watch?v=Gzv1m2DU3w8

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Starting today at 4 PM UK.

𝗟𝗶𝗮𝗺 𝗕𝗼𝗹𝗹𝗺𝗮𝗻𝗻-𝗗𝗼𝗱𝗱 will unpack SlashData’s AI Workflow Impact research and show how adoption-versus-reliance evidence can help AI tool vendors identify.

➡️ 𝗝𝗼𝗶𝗻 the live session here:
https://www.slashdata.co/resources/tech-market-webinars/ai-developer-workflow-webinar?utm_source=linkedin&utm_medium=organic_social&utm_campaign=ai_workflow_impact_webinar_20260730&utm_content=four_hour_last_call_reg
*️45-minute session with live Q&A
*️Can't attend live? Register anyway and we'll send you the recording, the slides and the full report.

Have you met 𝚃̶𝚎̶𝚍̶ Liam?

Meet The Speaker: Liam Bollmann-Dodd, Principal Market Research Consultant, SlashData “The question is no longer whether developers use AI. It is where leaders can confidently scale it — and where oversight must remain.

𝗧𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 whether developers are using AI.
𝗧𝗵𝗲𝘆 𝗮𝗿𝗲.
𝗧𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀 where AI can be trusted enough to scale across the workflow.

𝗜𝗻 𝗼𝘂𝗿 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝘄𝗲𝗯𝗶𝗻𝗮𝗿, Liam Bollmann-Dodd will use SlashData’s latest developer research to answer three practical questions:
1. Which development tasks are developers already willing to delegate to AI?
2. Which tasks still require close supervision?
3. Which workflows need deeper investigation before teams scale AI use?
The answers matter for AI investment, governance, rollout planning, and realistic productivity expectations.

𝗕𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗳𝗼𝘂𝗿𝘁𝗵 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 to the live Q&A.

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 for the webinar:
https://www.slashdata.co/resources/tech-market-webinars/ai-developer-workflow-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=ai_workflow_impact_webinar_20260730&utm_content=post_03_chart_preview

"𝗛𝗶𝗴𝗵 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 𝗵𝗶𝗴𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀. 𝗞𝗻𝗼𝘄 𝘄𝗵𝗶𝗰𝗵 𝘁𝗮𝘀𝗸𝘀 𝗔𝗜 𝗰𝗮𝗻 𝗼𝘄𝗻, 𝗮𝗻𝗱 𝘄𝗵𝗶𝗰𝗵 𝘀𝘁𝗶𝗹𝗹 𝗻𝗲𝗲𝗱 𝗮 𝗵𝘂𝗺𝗮𝗻."
On 30 July, Liam Bollmann-Dodd will unpack what SlashData’s research reveals across 13 AI-assisted development tasks.

𝗧𝗵𝗲 𝗳𝗼𝗰𝘂𝘀: where demand is already visible, where trust gaps remain, and where product teams should look for the next roadmap signal.

𝗕𝗼𝗼𝗸 𝘆𝗼𝘂𝗿 𝘀𝗲𝗮𝘁:
https://riverside.com/webinar/registration/eyJldmVudElkIjoiNmE1YTEwOTI2ZGE0NGVmN2NkZTRiODBmIiwic2x1ZyI6InNsYXNoZGF0YSJ9?utm_source=facebook&utm_medium=organic_social&utm_campaign=ai_workflow_impact_webinar_20260730&utm_content=post_02_speaker

4,582 developers.
13 workflow tasks.
AI adoption is everywhere, but trust is conditional.

If you're building, selling, or buying AI dev tools, knowing if developers use AI isn't enough anymore. You need to know where they rely on it—and where they refuse to.

𝗝𝗼𝗶𝗻 𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮 𝗼𝗻 𝟯𝟬 𝗝𝘂𝗹𝘆 𝗮𝘁 𝟰 𝗣𝗠 𝗨𝗞 as Liam Bollmann-Dodd breaks down our latest market research.

In 45 minutes, you’ll get:
✅ Data-backed benchmarks on AI dev tool reliance
✅ Clear boundaries for enterprise AI governance & realistic ROI
✅ Actionable product experience gaps you can fix immediately

⚡ Spots are limited for the live Q&A.

👉 Claim your spot here:
https://www.slashdata.co/resources/tech-market-webinars/ai-developer-workflow-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=ai_workflow_impact_webinar_20260730&utm_content=post_01_analyst_quote

The builder economy is not one audience.
𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝘀 𝘁𝗵𝗿𝗲𝗲 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 as AI lowers the barrier to software creation.

𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 create tools for themselves or small circles: a budget tracker, a family app, a wedding website, or a book club tool.

𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 are professionals who understand their organisation’s workflows, data, and pain points, and now use AI to build tools they previously had to request from IT or buy from a SaaS provider.

𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 create products for customers or broader audiences, often using AI to bridge the gap that previously required hiring developers or finding a technical co-founder.

And all three are different from professional developers using AI coding tools.

𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 is clear:
As AI expands who can build software, technology companies need to stop treating “non-developer builders” as one broad segment. They need sharper evidence on who builders are, what they are building, what tools they use, and where support, safeguards, and go-to-market strategy need to differ.

𝗔𝗰𝗰𝗲𝘀𝘀 the SlashData Builders Report:
https://research.slashdata.co/reports/6a312e565d94bb928ed881ff?utm_source=meta&utm_medium=organic_social&utm_campaign=builders_population_sizing_jul2026_16&utm_content=three_types_of_builders

𝗡𝗲𝘄 𝗱𝗮𝘁𝗮 from SlashData points to a major shift in who can create software.

𝗪𝗲 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝘁𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝗻𝗼𝘄 𝟭𝟲𝗠–𝟮𝟮𝗠 𝗮𝗰𝘁𝗶𝘃𝗲 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀: people without a coding background who create functional software using AI tools.

That means at least 16M people are building software without knowing how to code.

𝗪𝗵𝘆 this is important:
• Software creation is expanding beyond the professional developer population.
• AI is turning natural-language intent into functional software creation.
• Technology companies need sharper evidence on who builders are, what they build, and how they should be reached, supported, and governed.

𝗔𝗰𝗰𝗲𝘀𝘀 the report:
https://research.slashdata.co/reports/6a312e565d94bb928ed881ff?utm_source=meta&utm_medium=organic_social&utm_campaign=builders_population_sizing_jun2026&utm_content=hero_16m_22m_active_builders_v1_2026_07_14

𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 𝘀𝗼𝗹𝘃𝗲𝗱 𝗯𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗰𝗼𝗻𝘁𝗲𝗻𝘁.
That is one of the clearest signals from our joint research with Instruqt.

𝗦𝘄𝗶𝗽𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗣𝗗𝗙 for a quick read on three findings shaping developer adoption in 2026:
• why misalignment across teams is the #1 challenge
• why widely used formats are not always rated as the most effective
• how hands-on labs are linked with faster time to developer productivity

The research is based on responses from 424 marketing, sales, and developer education practitioners.

> For DevRel and developer marketing teams, the question is not only what content to create.
> For product and GTM teams, it is how to design better developer journeys and activation models.
> For leadership teams, it is where to invest in evidence-based adoption programmes.

𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲:
Developer adoption depends on more than awareness, documentation, or tutorials.
It depends on alignment, experience, and proof of what actually helps developers become productive.

𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗿𝗲𝗽𝗼𝗿𝘁 𝗵𝗲𝗿𝗲:
https://research.slashdata.co/reports/6a32b666b2f71856848e98f1?utm_source=meta&utm_medium=organic_social&utm_campaign=instruqt_sd_state_developer_adoption_2026&utm_content=pdf_carousel_3_findings_20260703&date=2026-07-09

𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗶𝗻 𝘁𝗲𝗮𝗺𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗔𝗜 𝗥𝗢𝗜 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟯𝘅 𝗮𝘀 𝗹𝗶𝗸𝗲𝗹𝘆 𝘁𝗼 𝗿𝗮𝘁𝗲 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀 𝗮𝘀 𝗻𝗼𝘁 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲.
> 13% of leaders in teams with no measurement rate AI as not valuable.
> Among teams that measure AI ROI, that falls to 4%.

𝗪𝗵𝘆 this is important:
• Measurement helps teams evaluate AI beyond isolated failures or recent frustrations.
• Lack of measurement can make AI value easier to doubt.
• Better evidence can reduce uncertainty in AI investment decisions.

𝗙𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀, the issue is not only whether AI tools are useful.It is whether their value is visible enough to support better decisions.

𝗔𝗰𝗰𝗲𝘀𝘀 the free SlashData report here: https://research.slashdata.co/reports/69e20948f89711ecdcfcd31b?utm_source=meta&utm_medium=organic_social&utm_campaign=ai_roi_measurement_gap_son_q12026&utm_content=13_vs_4_not_valuable_gap_20260630&date=2026-07-07