InfoQ - AI, ML & Data Engineering

Anthropic Introduces Routines for Claude Code Automation

Daniel Dominguez — Fri, 15 May 2026 15:51:00 GMT

Anthropic has introduced a new feature called Routines for Claude Code, allowing developers to configure automated coding workflows that run on schedules, through API calls, or in response to external events.

By Daniel Dominguez

Presentation: Using AI as a Thinking Partner for Large-Scale Engineering Systems

Julie Qiu — Fri, 15 May 2026 13:00:00 GMT

Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Critic, Author, and Reviewer - to manage the cognitive load of 400+ repositories. She shares how AI provides the "RAM" needed to synthesize legacy context, pressure-test designs, and accelerate high-level architectural decisions.

By Julie Qiu

Presentation: Accelerating LLM-Driven Developer Productivity at Zoox

Amit Navindgi — Thu, 14 May 2026 13:05:00 GMT

Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs. He shares practical strategies for driving adoption through AI champions and hackathons, emphasizing the move from deterministic workflows to autonomous agents.

By Amit Navindgi

Anthropic Traces Six Weeks of Claude Code Quality Complaints to Three Overlapping Product Changes

Steef-Jan Wiggers — Thu, 14 May 2026 09:16:00 GMT

Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that progressively erased the model's own thinking, and a system prompt verbosity limit that caused a 3% quality drop. The API and model weights were unaffected. All issues were resolved April 20.

By Steef-Jan Wiggers

Anthropic Launches Claude Platform on AWS

Daniel Dominguez — Wed, 13 May 2026 19:20:00 GMT

Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform using AWS authentication, billing, and monitoring services.

By Daniel Dominguez

Presentation: What I Learned Building Multi-Agent Systems From Scratch

Paulo Arruda — Wed, 13 May 2026 12:01:00 GMT

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.

By Paulo Arruda

AWS WorkSpaces Now Lets AI Agents Operate Legacy Desktop Applications without APIs

Steef-Jan Wiggers — Wed, 13 May 2026 07:31:00 GMT

AWS announced that Amazon WorkSpaces can now serve as managed virtual desktops for AI agents in public preview. Agents authenticate through IAM and operate legacy applications via computer vision and input simulation without APIs. Reflex benchmarks show vision agents consume 45x more tokens than API agents.

By Steef-Jan Wiggers

Article: Time-Series Storage: Design Choices That Shape Cost and Performance

Nirmesh Khandelwal — Tue, 12 May 2026 09:00:00 GMT

Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the choice of database itself. This article works through those fundamentals from first principles, using widely available tools like PostgreSQL and Apache Parquet to make each trade-off measurable.

By Nirmesh Khandelwal

Coder Agents Enable Running AI Coding Workflows on Self-Hosted Infrastructure

Sergio De Simone — Mon, 11 May 2026 17:00:00 GMT

Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows teams to maintain full control over code, data, and execution environments.

By Sergio De Simone

Article: Local-First AI Inference: A Cloud Architecture Pattern for Cost-Effective Document Processing

Obinna Iheanachor — Mon, 11 May 2026 11:00:00 GMT

The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.

By Obinna Iheanachor

Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning

Matt Foster — Mon, 11 May 2026 07:30:00 GMT

Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconnections between datasets, models, features, and workflows, addressing challenges in scaling ML operations. It enhances discoverability, governance, and component reuse while supporting a self-service approach for engineers and data scientists.

By Matt Foster

MySQL 9.7: First Major LTS Since 8.4 Brings Enterprise Features to Community Edition

Renato Losio — Sun, 10 May 2026 06:30:00 GMT

Oracle has announced the general availability of MySQL 9.7.0, marking the start of a new 9.7 LTS release series and the first major one since MySQL 8.4. The release arrives amid community concerns about declining MySQL development activity and Oracle's long-term commitment to the project.

By Renato Losio

Cloudflare Ships Dynamic Workflows, Bringing Durable Execution to Per-Tenant and Per-Agent Code

Steef-Jan Wiggers — Sat, 09 May 2026 09:31:00 GMT

Cloudflare released Dynamic Workflows, an MIT-licensed library that extends its durable execution engine so workflow code can differ per tenant, agent, or request at runtime. Built on Dynamic Workers, the library enables platforms to serve millions of unique durable workflows at near-zero idle cost. CI/CD and agent plan execution are the headline use cases.

By Steef-Jan Wiggers

How GitHub Is Securing Agentic Workflows in Modern CI CD Systems

Leela Kumili — Fri, 08 May 2026 14:38:00 GMT

GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.

By Leela Kumili

Presentation: Leadership in AI-Assisted Engineering

Justin Reock — Fri, 08 May 2026 12:40:00 GMT

Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research. He explains the "GenAI Divide" - where 95% of pilots fail - and shares how leaders can use the SPACE and Core 4 frameworks to measure true ROI. He explains how to balance speed with quality, reduce developer fear, and apply agentic solutions across the entire SDLC.

By Justin Reock