InfoQ Homepage Transcripts Content on InfoQ
-
Getting Rid of LeetCode Interviews in the World of AI
Daniel Doubrovkine shares why LeetCode interviews are obsolete in the AI era and discusses how engineering leaders must adapt hiring loops to evaluate real-world system design and AI collaboration.
-
The Future of Engineering: Mindsets That Matter When Code Isn’t Enough
Ben Greene shares lessons from startups for software engineers navigating AI coding agents. He explains why starting simple, keeping comprehension, and prioritizing customer impact matter.
-
Clean Architecture for Serverless: Business Logic You Can Take Anywhere
Elena van Engelen explains how to build cloud-agnostic serverless applications. She shares how Spring Cloud Function, Clean Architecture, and Gradle decouple business logic from AWS and Azure.
-
Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI
Jörg Schad discusses how to bridge the gap between prototypes and production by standardizing data access for GenAI, using autonomous data products to prevent context rot and ensure safety.
-
Compiling Workflows into Databases: the Architecture That Shouldn't Work (But Does)
Jeremy Edberg & Qian Li explain how to replace complex external orchestrators with DBOS Transact, an open-source library that implements durable workflow execution directly inside your database.
-
From Copy-Paste to Composition: Building Agents Like Real Software
Jake Mannix explains how to mature AI agents using "virtual tools" for encapsulation, interface abstraction, and deterministic taint tracking to prevent lethal data exfiltration risks.
-
Engineering AI for Creativity and Curiosity on Mobile
Bhavuk Jain discusses scaling raw AI models into production-grade mobile features. He explains the architecture, runtime guardrails, and fine-tuning behind AI Wallpapers and Circle to Search.
-
Platform Engineering for Everyone - Success Can’t Be Coded
Max Korbacher shares why internal developer platforms fail and how engineering leaders can build successful, product-minded platforms by focusing on people and process over raw technology.
-
From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry
Ben O'Mahony shares how to build a data flywheel for AI agents using OpenTelemetry, explaining how behavioral user signals can be mined to distill and fine-tune smaller, localized language models.
-
The Rust High Performance Talk You Did Not Expect
Ruth Linehan discusses Momento’s 3-year migration from Kotlin to Rust, explaining how the borrow checker speeds up delivery velocity and why Rust lowers overall engineering costs in production.
-
Postgres for Production Agents: Your Relational Foundation for Enterprise AI
Gwen Shapira discusses how to power enterprise AI features using Postgres, explaining advanced relational SQL context retrieval, pgvector semantic tuning, and transitioning to agentic workflows.
-
Lessons Learned in Migrating to Micro-Frontends
Luca Mezzalira discusses a practical roadmap for migrating to micro-frontends, explaining how to optimize for team autonomy, identify domain boundaries, and leverage edge-compute routing.