InfoQ Homepage QCon Software Development Conference Content on InfoQ
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QCon London 2026: Ethical AI is an Engineering Problem
At QCon London 2026, Clara Higuera, responsible AI program lead at BBVA, presented how many of the risks associated with AI systems are fundamentally engineering challenges rather than purely governance or policy issues.
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QCon London 2026: Refreshing Stale Code Intelligence
At QCon London 2026, Jeff Smith discussed the growing mismatch between AI coding models and real-world software development. While AI tools are enabling developers to generate code faster than ever, Smith argued that the models themselves are increasingly “stale” because they lack the repository-specific knowledge required to produce production-ready contributions.
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QCon London 2026: Blurring the Lines: Engineering & Data Teams in the Age of AI
At QCon London 2026, Lada Indra, head of data platform at Pleo, shared insights from his experience across high-scale data systems. He illustrated both the risks of poorly aligned teams and the practical strategies that organizations can adopt to bridge the gap.
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QCon London 2026: Reliable Retrieval for Production AI Systems
At QCon London 2026, Lan Chu, AI tech lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
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QCon London 2026: the Hidden Power of Boring Problems
At QCon London 2026, Yinka Omole, lead software engineer at Personio, presented a session exploring a recurring dilemma engineers face: whether to spend time mastering the newest technologies and frameworks, or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value.
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Advance Your Socio-Technical Architecture Skills with InfoQ’s New Online Cohorts
Enhance your architectural leadership with InfoQ’s new online cohorts starting April 15, May 7, and June 10, 2026. Led by Luca Mezzalira, this 5-week program focuses on socio-technical skills like ADRs, platform engineering, and AI trade-offs. Senior practitioners can apply frameworks to live projects, earn ICSAET certification, and contribute to the InfoQ community.
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Making Retrospectives Effective with Small Concrete Actions and Rotating Facilitators
Teams can run regular retrospectives that focus on 1–2 concrete weekly actions to avoid complaint circles, Natan Žabkar Nordberg mentioned at QCon London. You can rotate facilitators to build ownership, with each one bringing their own unique perspective. He suggested framing bigger changes as 4–6 week experiments, then vote to keep, tweak, or revert, ensuring learning and continuous improvement.
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QCon AI Boston’s Early Program Focuses on the Engineering Work behind Production AI
As teams move AI from pilots to production, the hard problems shift from demos to dependability. The first confirmed talks for QCon AI Boston (June 1–2) focus on context engineering, agent explainability, reasoning beyond basic RAG, evaluation, governance, and platform infrastructure needed to run AI reliably under real-world constraints.
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Lessons from Growing a Software Leadership Team
Thiago Ghisi explained how he guided managers and senior ICs to build a resilient leadership group beneath him in his talk Lessons from Growing Engineering Organizations at QCon London. Regular syncs, expectation calibration, and alignment on broader goals made leaders multipliers of culture and performance. Culture is what you do, not what you say.
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Creating Impactful Teams through Diversity Using Session 0
Diverse and empowered teams are impactful teams, Natan Žabkar Nordberg mentioned in his talk on creating impactful software teams at QCon London. A session 0 helps set expectations and ensures that everyone is approaching the team in a compatible way.
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QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering
Celebrating its 20th anniversary, QCon’s 2026 conferences in London and San Francisco will focus on the engineering realities of agentic AI, resilient architectures, and platform ROI. The programs continue the series' two-decade tradition of practitioner-led content, curated by senior engineers from companies like Zoox, UBS, and LinkedIn.
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Getting Feedback from Test-Driven Development and Testing in Production
Teams rely on strong unit and integration tests instead of end-to-end tests. Using TDD, pair programming, and good design, they ship small changes often, test in production for real feedback, and use feature toggles to reduce risk, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming.
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Building Software Organisations Where People Can Thrive
Continuous learning, adaptability, and strong support networks are the foundations for thriving teams, Matthew Card mentioned. Trust is built through consistent, fair leadership and addressing toxic behaviour, bias, and microaggressions early. By fostering growth, psychological safety, and accountability, people-first leadership drives resilience, collaboration, and performance.
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QCon London 2026: Practitioner-Led Tracks on Connectivity & Production AI Engineering
QCon London 2026 returns March 16–19 with 15 tracks for senior leads. Key sessions cover system integration via MCP, AI engineering, and debugging distributed systems. Explore modern security, Staff+ insights, and performance optimization with peer-led and practical discussions.
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QCon AI New York 2025: Moving Mountains: Migrating Legacy Code in Weeks instead of Years
David Stein, principal AI engineer at ServiceTitan, presented “Moving Mountains: Migrating Legacy Code in Weeks instead of Years” at QCon AI New York 2025. Stein demonstrated how migrations don’t have to be synonymous to “moving mountains” and introduced the concepts of the Principle of Acceleration and the Assembly Line Pattern.