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SlashData is the leading analyst company in the developer economy, tracking mobile & IoT developer t

SlashData is the leading analyst company in the developer economy, tracking developer trends via the largest, most comprehensive developer surveys worldwide. We reach out to more than 40,000 app developers in over 150 countries and engage them across all regions, platforms, and developer segments touching upon 8 different sectors namely , mobile, IoT cloud, and desktop to games, AR/VR, machine learning and gaming. Constantly investing on premium content we focus on launching different products and enriching our existing ones bringing actionable insights and competitive intelligence.

29/10/2026

Fewer developers hand code comments to AI as a separate task: 34% to 26%. Liam Bollmann-Dodd reads this as AI writing the comments while it generates the code.

The figure comes from our webinar recording, where Liam compares two waves of SlashData's global developer survey.

Base: the share among developers who use AI tools to help them write code, from SlashData's global developer survey of more than 10,000 developers per wave, Q1 vs Q3 2026.

Liam finds it hard to believe developers stopped wanting code comments, given how much they complain about code without them.

His explanation: models follow best practice as they write code, and that includes comments and annotations. In his words, "this task has been swallowed up by the wider engagement with AI for other code generation and other code behavior tasks."

For teams that measure AI developer tool use task by task: a falling share can mean the work has moved inside another task. Check where it went before you read the drop.

Watch the full recording:
https://go.slashdata.co/ai-workflow-impact-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=webinar_ai_workflow_20261008&utm_content=clip04_comments

27/10/2026

Developers now rely more on AI to find security issues and vulnerabilities. Reliance rose from 1 to 8 in six months. The share of developers doing the task barely changed.

Liam Bollmann-Dodd shows this in our webinar recording, comparing two waves of SlashData's global developer survey.

• Identifying security issues and vulnerabilities, reliance: 1 to 8, up 7 points

Base: the share among developers who use AI tools to help them write code, from SlashData's global developer survey of more than 10,000 developers per wave, Q1 vs Q3 2026.

Reliance is a net score: the share of developers who hand AI the majority of a task, minus the share who hand it a minority.

Liam separates two tasks. Not introducing vulnerabilities needs good practice. Finding them is largely checking code against known exploits and CVEs. Many security tools already do this without generative AI, "but we are seeing a massive jump in it."

He suggests developers may now run the check as part of their own build, where before it was a separate step set up by the platform team.

For security tool vendors: if Liam is right, the developer's own build may be where the check needs to work.

Watch the full recording:
https://go.slashdata.co/ai-workflow-impact-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=webinar_ai_workflow_20261008&utm_content=clip06_security

22/10/2026

The new slashdata.co is live. Here is what you can do on it:

• Read our free reports, each with the full analysis and the sample behind it
• Go to the page for your role: engineering leaders, developer marketing and research teams, or AI platform teams
• Follow what each new survey wave finds on our blog
• Talk to an analyst about the question you need answered

Explore the site:
https://www.slashdata.co/?utm_source=facebook&utm_medium=organic_social&utm_campaign=website_launch_20261015&utm_content=launch

22/10/2026

Reliance on AI for DevOps tasks swung from -9 to +9 in six months. The share of developers using AI for them barely changed.

Liam Bollmann-Dodd shows this in our webinar recording, comparing two waves of SlashData's global developer survey.

• Handling DevOps tasks, such as authoring CI/CD pipelines, reliance: -9 to +9, a swing of 18 points
• Share of developers using AI for DevOps tasks: 19% to 17%, which Liam calls within noise

Base: the share among developers who use AI tools to help them write code, from SlashData's global developer survey of more than 10,000 developers per wave, Q1 vs Q3 2026.

Reliance is a net score: the share of developers who hand AI the majority of a task, minus the share who hand it a minority.

Liam's reading, the likelier of his two explanations: DevOps needs very specific configuration, and with the right context a model can probably be precise about it. Even in the group that relies on AI most, developers may still do up to 25% of the task themselves, "which gives a lot of space for them to still be involved."

For CI/CD and platform vendors: developers may still keep part of the task, so an AI that does the configuration and reports back fits that pattern.

Watch the full recording:
https://go.slashdata.co/ai-workflow-impact-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=webinar_ai_workflow_20261008&utm_content=clip05_devops

20/10/2026

Code generation is no longer the task developers most often hand to AI. The developers who still hand it over rely on AI more for it.

That is one finding from our webinar recording, where Liam Bollmann-Dodd compares two waves of SlashData's global developer survey, six months apart.

• Code generation, share of developers using AI for it: 49% to 41%
• Code generation, reliance: -8 to -1
• Bug detection, reliance: -6 to -2
• Understanding existing code, reliance: -14 to -1

Base: the share among developers who use AI tools to help them write code, from SlashData's global developer survey of more than 10,000 developers per wave, Q1 vs Q3 2026.

Reliance is a net score: the share of developers who hand AI the majority of a task, minus the share who hand it a minority.

Liam reads the drop as developers keeping AI where it is most useful to them: "We effectively are shedding the people who do not use AI for the majority of the tasks."

For teams building AI developer tools: on Liam's reading, the users who stay are the ones who hand AI most of the task. Track how much of the work they give the tool, alongside how many use it.

Watch the full recording:
https://go.slashdata.co/ai-workflow-impact-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=webinar_ai_workflow_20261008&utm_content=clip02_reliance

08/10/2026

34% of developers say difficulty estimating cost before a task runs limits how much autonomy they give AI agents. Only 7% say nothing limits them.

With Cursor, OpenAI and GitHub all moving to usage-based pricing, every agent step now has a price. Even company-paid access doesn't escape it: engineering leaders tell us developers often run out of their token allocation early.

Agents are being metered. The advantage goes to the vendor whose meter is easiest to read.

Read the blog: https://www.slashdata.co/post/agent-autonomy-pricing-problem?utm_source=facebook&utm_medium=organic_social&utm_campaign=blog_agent_autonomy_pricing_problem_20261008&utm_content=launch
Source: SlashData AI Developer Tools Benchmark, Q3 2026 (n=2,040)

07/10/2026

The AI Developer Tools Benchmark Q3 2026 is out!

See how 19 AI developer tools compare on adoption, conversion, primary reliance, and satisfaction, among others. Learn where each tool is winning and where it is falling behind.

Built for product, product marketing, and DevRel leads at AI developer tool companies who need to understand where their tool is gaining ground, where it is losing out, and which gaps matter most.

One finding from this wave: GitHub Copilot converts 54% of the developers who are aware of it into active users. OpenAI Codex and Claude Code each convert 44%.

Base: 2,063 professional developers using AI developer tools, Q3 2026.

Learn more:
https://www.slashdata.co/ml-ai-data-science-dei/ai-developer-tools-benchmark?utm_source=facebook&utm_medium=organic_social&utm_campaign=report_ai_dev_tools_benchmark_q3_20261007&utm_content=launch-conversion

07/10/2026

Tomorrow: the AI tasks developers are quietly dropping.

Developers are giving AI fewer tasks, yet they are relying on it more for the ones they keep. If you are about to roll out a new AI tool or AI feature, this is the line to see before the budget is spent.

Tomorrow, Liam Bollmann-Dodd, our Principal Market Research Consultant, puts two waves of our global developer survey side by side, six months apart. You will see:

✅ Which tasks to hand to AI first, based on the experience of other developers

✅ Which tasks developers are quietly dropping

✅ Where to point your AI roadmap and budget next

Learn from other developers' AI use before you roll out yours.

The live room holds 100 people. Thursday 8 October 2026, 16:00 to 16:45 BST, questions included. Register even if you cannot attend live and we will send you the recording.

Save your seat:

https://148665764.hs-sites-eu1.com/ai-workflow-impact-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=webinar_ai_workflow_20261008&utm_content=reminder_1d

06/10/2026

Same AI developer tools, opposite results. What changes is the experience of the developer using them.

62% of developers with 16+ years of experience say AI developer tools cut the time they spend on repetitive tasks. Among developers with 0-2 years, 42% report a decrease and 44% report an increase.

In her new analysis, Myriam Boualami looks at SlashData's Developer Nation Q1 2026 data from 4,203 professional developers who use AI developer tools in their workflows.

• 16+ years of experience: 62% spend less time on repetitive tasks, 25% spend more
• 0-2 years of experience: 42% spend less time, 44% spend more
• Reading documentation or forums: 51% of the most experienced spend less time, against 32% of the least experienced (n=4,200)

For engineering leaders, time saved is the ROI metric cited most, by 40% of developers in leadership roles (n=2,341). A business case built on it depends on the experience of the team using the tools.

With junior headcount already thinning, the experience mix that produces today's return may not be the one organisations have in a few years.

The return on AI developer tools is paid out in proportion to experience.

Read the analysis:
https://www.slashdata.co/post/ai-developer-tools-roi-experience?utm_source=facebook&utm_medium=organic_social&utm_campaign=blog_ai-developer-tools-roi-experience_20261006&utm_content=launch

05/10/2026

Only 14% of developers let an AI agent run end to end with minimal or no review.

Bounded autonomy is now the most common way developers use agentic tools, so the whole question sits between those two points. Base: professional developers, Q3 2026 wave, from the AI Developer Tools Benchmark.

Adoption tells you a tool has entered the workflow. Autonomy tells you how much work developers are prepared to hand over without watching every step.

For anyone writing agent messaging for next year, that 14% is a useful reality check on how far current developer behaviour has moved toward full autonomy.

The full Q3 2026 wave is out in early October.

Learn more:
https://go.slashdata.co/en/ai-dev-tools-benchmark-waitlist?utm_source=facebook&utm_medium=organic_social&utm_campaign=report_ai_dev_tools_benchmark_q3_20261005&utm_content=chart-agent-trust

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Website

http://slashdata.co/

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