Are you working on an interesting project? Have you had a major technical breakthrough in your organization? Has your team uncovered insights about new and exciting technologies? Share with your peers at QCon London!
During QCon London 2024, we are offering all conference attendees the opportunity to put together a 5 minute ‘lightning talk’ and share their knowledge with the rest of the QCon community during break sessions.
- Choose a slot that works for you, edit the schedule on this page, and submit it as a pull request. Sign up is on first come-first serve basis.
- Our team will review your submission and get back to you.
- The lightning talks will take place in one of the social area during the breaks.
- A projector (in 16:9 ratio) is available
- Someone from our team will be assisting you with the projector. Note that there is no microphone or speaker available.
- There are no formal plans for recording at this moment.
- On your submission, make sure to include:
- The title
- Your name with a link to your LinkedIn profile
- A link to your slide deck (if available already)
- This offer is only available to registered QCon attendees.
- Sales pitches will not be accepted.
- After your submission, the QCon team will email you, ask your for a draft of your slide deck and make sure you are set up for success.
- Monday, April 8
- 11:30am-11:35am: Virtual-thread friendly Go-like channels for Java by Adam Warski
- 11:35am-11:40am: Effective ensemble programming. Reflections from 2 years of daily practice by Paul Wild
- Tuesday, April 9
- 11:30am-11:35am: Seven minute reflections – a team practice for increased learning by Kjetil JD
- 11:35am-11:40am: How can you influence DevEx in a huge organisation with thousands of engineers by Amir Abadir
- Wednesday, April 10
- 11:35am-11:40am: Putting together a slightly-better-than-mediocre Connect 4 AI by Jonathan Cowling
- 14:30pm-14:35pm: Debunking the myths of legacy software - How we adopted safe refactoring to transform legacy software by Preetha Ramaswamy
- 14:35am-14:40am: Using agent based Modelling to Improve LLM agents by Ben Gamble