Webinar on AI developer tools: Where AI delivers & what the future holds, based on professional software developers
Webinar on AI developer tools: Where AI delivers & what the future holds, based on professional software developers
Based on 800+ developers across 20+ countries
AI coding 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:
Product managers and AI coding tools PMMs lack clarity about what features drive developer engagement and performance
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 This Matters Now
Adoption is rising fast.
YET -
Heavy usage doesn’t necessarily lead to productivity gains.
Market reach doesn’t always reflect developer value.
Satisfaction doesn’t guarantee retention.
Developers’ expectations are shifting faster than positioning strategies.
Product and marketing professionals struggle with reading the market, not being active in it.
This is where our data and analyst foresight come in to shed light and offer you the clarity you need to invest in the winning scenario.
What we will cover in this webinar session:
1. How embedded are AI coding tools now?
We'll introduce the benchmarking approach we use to compare tools fairly, including:
Adoption: share of developers using each tool in their workflows
Usage intensity: how deeply tools are integrated into daily coding work
Satisfaction: where developer experience actually holds up
2. The market landscape: how tools cluster and what that means
How the landscape separates into different tool types (scale leaders, emerging challengers, niche high-performers)
Why market reach and developer value don't always move together
3. Where AI actually delivers
The tasks developers prioritise when using AI coding tools
Where expectations are highest, and what that signals for tool selection and product direction
4. The performance reality: where AI feels strong vs where it still struggles
AI assistance quality across core development activities
The "opportunity zone" where developer expectations aren't being met yet
Why some workflows are becoming differentiators (and not all tools compete equally there)
5. Productivity signals: how teams think about impact in practice
Changes in development throughput
Time savings and reclaimed capacity
Why "heavy usage" doesn't automatically translate into proportional efficiency
Trust, acceptance, and engineering vigilance
6. What this means for vendors
Decision-ready takeaways where vendors should focus next to reduce correction burden and friction
The capabilities most likely to separate leaders from the rest
7. Closing: The next wave
The AI developer tools landscape isn't standing still. In the next wave of this quarterly research product, we'll explore:
Brand & positioning shifts: brand funnel dynamics, brand perceptions, and how cost and pricing context influences adoption depth and retention
The rise of agentic tools: how much autonomy developers give away, how ROI is evaluated and what barriers developers face using these developer tools in their agentic form
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
In Q4 2025, SlashData designed and ran a global, online pilot survey to understand how professional developers who rely on AI technologies for their coding work engage with AI coding assistants, agents, and AI-native IDEs. We conducted the analysis presented in this report based on data collected from 800+ respondents across more than 20 countries worldwide.
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
If I can’t attend live, should I still register for the AI coding 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.
What exactly do I get immediately after registering?
A confirmation and access details via Luma, plus delivery of the free benchmark snapshot as part of the registration flow.
Can I share the webinar materials internally?
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.
What data will be discussed publicly versus reserved for the full benchmark?
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.
Bonus: Free Research Report
All registrants will instantly receive access to the free version of the research AI Coding Tools Benchmark report:
Including:
Market adoption data
Developer workflow insights
Emerging trends in AI-assisted development