Uncover emerging trends and practices from the world’s most innovative software professionals to help you validate your software roadmap. Celebrating 20+ years.
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Agent reasoning loops can keep running without a useful result while the inference bill grows.
Meryem Arik, Co-Founder and CEO @Doubleword_, on a simple production guardrail: set a cost ceiling per task and flag anything that crosses it.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/bISxVox
#QConLondon #AIAgents #AIInfrastructure
The instinct when building agent memory is to preserve everything. It doesn't scale.
Karthik Ramgopal, Distinguished Engineer at LinkedIn, on why the harder problem is deciding what deserves to be remembered and when information is no longer worth keeping.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/qg1LjJc
#QConLondon #AIAgents #AIEngineering
Easier code generation doesn't remove production ownership.
Suhail Patel hosts QCon San Francisco's track on verification, code review, and who operates what gets built.
Explore the track: buff.ly/0wHN3ta
Repo-specific fine-tuning doesn't necessarily require a frontier-sized model or an enormous evaluation budget.
Jeff Smith, CEO & Co-Founder at Neoteny AI, on Allen AI's SERA approach, which uses softly verified execution to cut evaluation costs during training.
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: buff.ly/rgInDF1
#QConLondon #AIEngineering #LLMs
Multiple coding agents need common routing, sandboxes, and policies.
Serena Ruan and Bryan Qiu, Senior Software Engineers @Databricks, explain the Omnigent and Otto layers at QCon AI New York 2026.
Read the abstract: buff.ly/CAUC4V4
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
