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13 results for “engineering leaders”
Presentation: Can Claude Fix Itself? Using LLMs for Incident Response
Anthropic reliability engineer Alex Palcuie presents a practitioner-level assessment of LLMs in production incident response, highlighting both superhuman observational capabilities and persistent limitations in causal reasoning — offering pragmatic guidance for integrating AI without undermining human judgment.
Aug 26, 2026
Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering
Two practitioners propose context engineering techniques to improve coding agent reliability by reducing prompt noise and optimizing context window usage.
Aug 14, 2026
Presentation: Producing the World's Cheapest Tokens: A How-to Guide
Meryem Arik presents architectural strategies to drastically reduce LLM inference costs for batched, non-real-time workloads through hardware selection, runtime optimization, speculative decoding, and queue management.
Aug 11, 2026
Presentation: Leveraging Adversary Emulation for GenAI Red Teaming
A presentation outlines how to apply adversary emulation techniques—adapted from traditional cybersecurity—to red team generative AI systems, specifically targeting LLMs and knowledge bases deployed on AWS against threats including data poisoning and LLMjacking.
Aug 10, 2026
Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Teams Get Stuck
Quotient CEO Lizzie Matusov introduces a five-stage AI maturity framework for engineering organizations to diagnose why high AI investment isn’t translating into improved software delivery, emphasizing organizational alignment and outcome-based metrics over token-centric vanity metrics.
Aug 4, 2026
Article: An Evolutionary Architecture Pattern for Managing AI’s Pace of Change
Enterprise engineering leaders are adopting 'AI Gateways' as a new architectural pattern to manage the unpredictability of agentic AI systems, centralizing control over guardrails, model routing, agent identity, action policy, and semantic audit.
Jul 27, 2026
Presentation: From Copy-Paste to Composition: Building Agents Like Real Software
Jake Mannix proposes a new architectural approach for AI agents—introducing an intermediate protocol layer to enable versioned, encapsulated 'virtual tools' with built-in data security controls like runtime taint tracking.
Jul 22, 2026
Presentation: Engineering AI for Creativity and Curiosity on Mobile
An InfoQ presentation by Bhavuk Jain outlines engineering strategies for deploying AI features—specifically AI Wallpapers and Circle to Search—on mobile devices, emphasizing runtime safety, OS integration, and trade-offs between UX, latency, and cost.
Jul 21, 2026
Three InfoQ Certification Cohorts Start This August: Meet the Facilitators
InfoQ launched three paid, five-week online certification cohorts in August 2024 focused on architecture, engineering leadership, and AI security and privacy, each led by a named practitioner using QCon-derived frameworks.
Jul 20, 2026
Presentation: Chaos Engineering GPU Clusters
A presentation introduces chaos engineering practices for large-scale GPU clusters to improve infrastructure reliability and hardware efficiency.
Jul 10, 2026
Presentation: The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
A presentation outlines a multi-agent AI approach to software development automation, positioning it as a solution to overcome current AI productivity limits in coding.
Jul 9, 2026
Presentation: The Infrastructure Challenge Behind Production AI
A panel discussion highlights systemic infrastructure challenges in deploying AI systems at scale, emphasizing that model development is mature but production reliability—especially database resilience under load—remains unresolved and critical for engineering leadership.
Published Jul 1, 2026 · Analyzed Jul 4, 2026
Presentation: AI Works, Pull Requests Don’t: How AI is Breaking the SDLC and What to Do about it
AI-generated code submissions are overwhelming human review capacity in software development, creating bottlenecks and technical debt, prompting engineering leaders to adopt automated validation tools.
Published Jun 26, 2026 · Analyzed Jul 4, 2026