Uncover emerging trends and practices from the world’s most innovative software professionals to help you validate your software roadmap. Celebrating 20+ years.

Joined March 2008
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
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Hosted by Vanessa Formicola, the track covers product and domain understanding, organizational design, judgment as AI changes the work, and coaching others so impact can extend beyond individual output.
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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.
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“Make the agent feel smarter” is difficult feedback to turn into an engineering requirement.
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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.
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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.
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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
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The six-session track examines alignment across unfamiliar domains, Staff-level leverage from AI, shared technical strategy, platform maturity, and onboarding through breadth.
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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
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The keynote will examine universal multilingual recognition, prompt-based generation, real-time translation across language pairs, and end-to-end systems that understand and answer spoken queries.
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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
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AI-assisted exploit development is shrinking the disclosure-to-exploitation window. Tetragon's eBPF policies can detect and sometimes prevent suspicious behavior while teams prepare and deploy a patch.
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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
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As AI agents support nonprofits, scalable data validation and clear ownership become central design considerations. The session examines Blackbaud's move to owned data products, including the standards, tooling, and organizational changes that make ownership practical.
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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
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The session puts a different systems choice on the table: coordinating a swarm of open models for software development rather than depending on one frontier model.
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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.
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