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Anderson Parra, Staff Software Engineer, at SeatGeek, presented “Shielding the Core: Architecting Resilience with Multi-Layer Defenses” at QCon London 2026. Parra discussed strategies on how to handle significant traffic spikes in systems that can overwhelm an even well-designed infrastructure.

By Michael Redlich

Uber’s uSpec uses AI agents and the Figma Console MCP to automate design specs, cutting documentation time from weeks to minutes. Integrated with the Michelangelo platform, it uses a GenAI Gateway for PII redaction, ensuring data stays local. This reflects a 2026 industry shift between Uber’s “Visual-First” Figma workflow and a “Guide-First” approach favored by developers using agentic IDEs.

By Patrick Farry

Revenium has announced the general availability of its Tool Registry, a new capability designed to give enterprises a complete, end-to-end view of what their AI agents actually cost.

By Craig Risi

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.

By Daniel Dominguez

Agoda recently published an observation arguing that while AI coding tools have measurably raised individual developer output, the resulting velocity gains at the project level have been surprisingly modest, because coding was never the real bottleneck. The post claims that the bottleneck has shifted upstream to specification and verification because these areas require human judgment.

By Eran Stiller

Nicole Forsgren discusses the “AI Productivity Paradox”, explaining why generating code faster often makes deployment bottlenecks more expensive. She shares the DevEx framework to help architects and leaders systematically remove friction. Learn how to use DORA metrics and RICE prioritization to make a data-driven case for platform health.

By Nicole Forsgren