Staff+ influence goes beyond technical depth into product, organizations, and coaching.
Vanessa Formicola hosts QCon London's 2027 Staff++ track.
Read more about the track: buff.ly/2Ma8MQr
A 40-step agent that fails at step 39 shouldn’t have to start again at step 0.
Meryem Arik, Co-Founder and CEO at Doubleword, on how checkpointing lets long-running agents rerun only the steps that need repeating.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/ZSGovWm
#QConLondon #AIAgents #AIInfrastructure
Karthik Ramgopal, Distinguished Engineer at LinkedIn, explains how LinkedIn split it into two capabilities: adapting to each user over time and understanding the systems the agent is connected to.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/4q2a3Nj
#QConLondon #AIAgents #AIEngineering
Most AI coding tools were trained on public code, not the rules that make a PR mergeable in your private codebase.
Jeff Smith, CEO & Co-Founder at Neoteny AI, on why that leaves a persistent gap for coding agents.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/vDSXiAK
#QConLondon #AIEngineering #CodingAgents
Complex transitions call for architecture and cross-team alignment.
Javier Fernandez-Ivern, Staff Software Engineer @Netflix, hosts QCon San Francisco's Staff+ Engineering Skills track on alignment and technical direction.
Explore the track: buff.ly/EI7Iwwy
Audio LLMs combine recognition, generation, translation, and dialogue.
Tara Sainath examines these capabilities in her QCon AI New York 2026 keynote.
Read more here: buff.ly/nk8DufS
A patch may take time; runtime mitigation can help in the meantime.
Liz Rice, Chief Open Source Officer @Isovalent at Cisco, will demonstrate eBPF and Tetragon at QCon London 2027.
Read the abstract: buff.ly/HLq8lAT
Blackbaud’s lakehouse prompted a shift toward clearer data ownership.
Shannon McKenzie, Sr Principal Engineer @Blackbaud, will examine the move to owned data products at QCon San Francisco 2026.
Read the abstract: buff.ly/xC0Dpap
Coding tasks can run in parallel, with candidates checked against tests.
Meryem Arik, Co-Founder & CEO @Doubleword_ explores swarms of open models at QCon AI New York.
Read the abstract: buff.ly/EOTfPaN
When a codebase is predictable, agents can generate more correct code.
Jo Kelly-Fenton, Engineer at Spotify, explains the compounding effect: more correct code is cheaper to verify automatically, which reduces review load and creates more capacity to keep improving the codebase.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/pVUJ0dq
#QConLondon #CodingAgents #DeveloperExperience






