Driving the Change
29 OCtober 2027 at Estonian National Museum (ERM) in tartu
A software conf for people who are building systems day to day and figuring out what's next in practice.
Roles in software development are shifting alongside LLMs.What are you going to do about it?
At Digit 2026, developers and tech leaders shared how their teams are adapting to changes in software development - through case studies, honest trade-offs, and lessons from building real systems.The conversations, the people, the atmosphere - take a look back at Digit 2026. See the PHOTOS.
Clarity on your evolving role
A clearer picture of how software engineering is shifting and where developers fit in the age of LLMs.
Practical ideas that you can use
Real approaches to integrating LLMs into your workflow from teams who have already tried them.
A community going through the same changes
Connect with developers facing similar questions, compare experiences, and learn from one another.
Confidence, not just content
Fresh perspectives to help you navigate the changes ahead with greater confidence.
SWE STAGE
Software engineering in the age of LLMs
Technical talks on integrating LLMs into real systems: architecture, scalability, reliability, and trade-offs in practice. By developers, for developers.
Data & ML STAGE
Python, ML, and AI in depth
Ecosystem-specific talks, deeper dives into tooling, and discussions on where Python is heading.
Workshops
Hands-on sessions on LLM integration, developer workflows, and staying relevant.
Demo area
Companies showcasing tools and real-world implementations
LLMOverflow area
Practical discussions and hands-on demos on building and working with LLMs and agents.
Side events & afterparty
Community meetups and an afterparty that kept the conversations going beyond the conference.
Speakers
Meet the developers, researchers, and tech leaders who shared their experience at Digit 2026.
Who is Digit for?
Architects
Scalability, reliability, and integrating LLMs into existing systems
QA & testers
How quality practices are evolving with automation and AI tools.
Developers
Practical talks on real systems and LLM integration, across stacks.
Tech leads
Architectural decisions, team workflows, and technical direction.
Students
See how LLMs have been changing industry applications and tooling
Data professionals
LLMs and traditional machine learning, data engineering, and analytics
SHARED VALUES
- No fluff
- From developers, to developers
- High quality, in-depth content
- Team leadership
- Engaging and hands-on
Partners
Supporters
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