Elastic principal data scientist Susan Chang described how the company consolidated per-team agent evaluations into a shared, tracing-based framework for its production AI agents, including the attack…
Meta's experiment with AI-powered engineering "pods" of three to five workers increased code changes by 220% year-on-year, but features shipped rose only 36% while major technical and security inciden…
Honeycomb CEO Charity Majors reflects on the first year since the company issued its AI mandate, reporting that teams with strong learning culture improved while those shipping slop scaled their outpu…
Packt has published 'The Ultimate AI Guide for Linux Engineers' by Ezequiel Lanza and Eduardo Spotti, a 300-page, 12-chapter book aimed at seasoned Linux professionals such as sysadmins and DevOps eng…
Douglas Soo, a 30-year software developer at startups, reports that LLM-driven coding is exhausting senior engineers and stressing junior engineers, with teams shipping more but understanding less. So…
Search interest in 'agentic engineering' has surged relative to 'vibe coding,' narrowing the gap from 30-to-1 in July 2025 to roughly 2.5-to-1 by June 2026, according to Google Trends data analyzed by…
Ben O'Mahony, Principal AI Engineer at Thoughtworks, presented a talk on using OpenTelemetry data from developer interactions with an AI-powered Language Server Protocol to train smaller, faster model…
AI agent infrastructure is splitting at the state layer, where durable records of agent work become the dividing line between a product and a parlor trick. Focused Labs argues that state turns agent b…
AI has made software production cheap, but quality—specifically confidence in correctness and shared understanding—has become the new bottleneck. Code review times have surged 441.5% and defect rates …
In a podcast, Michael Stiefel spoke with Sarah Wells about governance in software architecture and its application to agentic AI development. Wells argued that governance enables teams to reduce compl…
Bryan Oliver, a Thoughtworks Radar contributor and author, presented on chaos engineering for GPU clusters at a recent event, highlighting the complexity and scale of modern AI hardware such as NVIDIA…
Addy Osmani, former Google Chrome DevRel now at Anthropic, released agent-skills, a repository of 24 workflow skills designed to prevent AI coding agents from skipping critical engineering steps like …
Jim Dowling's O'Reilly book 'Building Machine Learning Systems with a Feature Store' offers a practical guide for deploying machine learning models into production, based on a course he taught at KTH …
InfoQ opened enrollment for its AI Security & Privacy Engineering Program, a five-week online cohort for senior engineers in regulated industries, starting August 26 and October 14. The program, facil…
AI excels at tasks with clear answers, but careers in the agent era depend on choosing what to build and judging its quality, not just solving problems. Former Google engineering leader Eoin Brazil ar…
Anthropic's Claude Code now writes 90% of the company's own codebase, boosting engineer output by 200% and shifting bottlenecks to code review. The tool's Code Review product increased substantive pul…
Honeycomb released the second edition of Observability Engineering, a near-complete rewrite addressing AI-era challenges like validating AI-generated code in production and the risk of shipping faster…
Micheal Lanham released the second edition of "AI Agents in Action," a practical guide to building agentic systems covering personas, tools, memory, and multi-agent patterns. The 392-page book, publis…
The second edition of Observability Engineering is available for download, sponsored by Honeycomb. Authors Charity Majors and team wrote the book amid the generative AI boom, emphasizing that AI is no…
O'Reilly published "Hands-On RAG for Production" by Ofer Mendelevitch and Forrest Sheng Bao in June 2026, a 358-page guide covering the full RAG pipeline from document parsing to LLM integration with …