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Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.
Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&D.
Gonzalo Maldonado explains how technical leaders can translate engineering skills into startup success using their "VC Abstraction Layer Knowledge" (VALK). They share hard-won lessons on finding product-market fit, structuring pitches like technical docs, avoiding co-founder drama, and evaluating internal platforms as commercial ventures in a post-ZIRP environment.
Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge.
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AI-Assisted Engineering Certification
Your coding agent moves fast. Who checks whether it's making the codebase better? Online. Register Now.
High-Performing Teams Certification
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QCon San Francisco
What's working across AI, architecture, and leadership, from the teams doing it. Register. Early bird ends Oct 13.
QCon AI New York
Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.Register. Early bird ends Oct 13.
QCon London
What early-adopter teams have proven in production, across 15 engineering tracks. Register. Early bird ends Oct 13.
QCon AI Boston
Learn from the decisions and trade-offs behind AI systems already running in production.Registration open.
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