Give Your Engineers Their Time Back With AI
Your engineers have to keep the product running while building what comes next on the roadmap. When bug reports and incoming requests pile up, handling them eats into the time planned for your next product release.
But what if your engineering team could keep those requests moving without getting pulled in every direction?
Hiring more engineers is one way to keep up with that workload. Another is to use AI to take some recurring work off the team's hands. In Atlassian's 2026 developer experience survey, 80% of developers said AI helped them deliver more without working longer hours.
The challenge is knowing which tasks to hand over and making sure checking the AI's work doesn't take up the time you hoped to save.
Join Tech Safari and Stefan Kruger, CTO at Lua AI, to learn how to put AI to work on the recurring tasks that keep pulling your engineers away from the product, while keeping them involved where their judgement matters. Before co-founding Lua, Stefan was VP of Engineering at Paystack.
We’ll get into:
What to hand over. Which engineering tasks suit AI, what agents need to handle them well and where engineers should remain involved.
What counts as time saved. How to judge the benefit once you account for reviewing and correcting an agent’s work.
How it works in practice. Stefan will show how a team of AI agents can review, triage and manage incoming tickets using Engineering Fleet, Lua’s ready-made system for this work.
How to apply it to your own work. Stefan will build agents live for a recurring engineering task selected from your registration responses, using Studio, the agent-building tool inside Lua Workspaces.
Whether you build software, lead a team, or run a business that depends on one, come along to explore how AI could give engineers more time to build.
Register for free to join us on Thursday, November 26, 10 AM WAT / 12 PM EAT.