InfoQ

Reverse Engineer Anything Project Brings AI Agents to Binary Analysis

Renato Losio — Sat, 17 Oct 2026 06:28:00 GMT

Reverse Engineer Anything (REA) is an open-source project with over 200K GitHub stars that connects coding agents such as Claude Code and Codex to reverse-engineering tools like Ghidra, Hopper, and IDA. The project lets developers inspect compiled binaries, trace function calls, and investigate how applications implement specific features.

By Renato Losio

Amazon Acquires DuckLabs and Integrates DuckDB in Amazon Aurora PostgreSQL

Gianmarco Nalin — Sat, 17 Oct 2026 06:00:00 GMT

Amazon has acquired DuckLabs, the company behind the analytical database DuckDB. Co-founders Hannes Mühleisen and Mark Raasveldt will continue to lead the team under AWS. The acquisition aims to enhance the development and reach of DuckDB while maintaining its open-source status. Amazon Aurora PostgreSQL gets its first DuckDB-powered feature following the acquisition.

By Gianmarco Nalin

Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments

Sergio De Simone — Fri, 16 Oct 2026 19:00:00 GMT

Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system. According to the researchers, this approach can improve both learning effectiveness and efficiency while helping agents overcome their weaknesses.

By Sergio De Simone

Zod Brings In-Process Schema Compilation and a 9x Cut in Memory Footprint

Daniel Curtis — Fri, 16 Oct 2026 15:22:00 GMT

Zod is a TypeScript-focused schema validation library that recently released versions 4.5 and 4.6. Key updates include schema compilation for faster data parsing, significant memory usage reductions, and new validation features. The library supports efficient validation processes and remains popular in the JavaScript ecosystem, achieving millions of downloads weekly.

By Daniel Curtis

Uber Automates Dependency Analysis Across Its Service Mesh

Leela Kumili — Fri, 16 Oct 2026 14:39:00 GMT

Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail-close, fail-open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s large service mesh.

By Leela Kumili

AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance

Olimpiu Pop — Fri, 16 Oct 2026 14:14:00 GMT

A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session emphasised a strategic approach to deployment and security management.

By Olimpiu Pop

Grafana Applies SLOs and Error Budgets to AI Agent Behaviour

Craig Risi — Fri, 16 Oct 2026 12:00:00 GMT

Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well.

By Craig Risi

Mini book: Evolutionary Architecture in Practice

InfoQ — Fri, 16 Oct 2026 11:30:00 GMT

Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross-cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond static diagrams to continuous feedback systems that keep change safe and intentional.

By InfoQ

Helidon 27 Introduces Restructured Programming Models and New Messaging and Data Modules

Michael Redlich — Fri, 16 Oct 2026 11:20:00 GMT

The release of Helidon 27 is the first release that follows the Oracle Tip & Tail Model of Library Development by which the Tip adopts the latest Java technology while the Tail provides a more stable and secure baseline. Concurrent with the release of JDK 27, new features in Helidon 27 include: an introduction to new major modules, Helidon Messaging and Helidon Data JDBC.

By Michael Redlich

Presentation: Exploding GPUs

Andrew Martin — Fri, 16 Oct 2026 11:00:00 GMT

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

By Andrew Martin

AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development

Daniel Dominguez — Fri, 16 Oct 2026 10:47:00 GMT

AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling agent execution. Both projects address different aspects of building agents that use tools, execute code, and interact with external systems.

By Daniel Dominguez

Article: Cryptographic Foundation of Mobile ID Systems: An ISO/IEC 18013-5 Enterprise Architecture Blueprint

Praveen Kumar Gopalakrishnan — Fri, 16 Oct 2026 09:00:00 GMT

This article provides a framework for asking the right architectural questions before an enterprise commits to an mDL provider or library. It shows which components can be abstracted safely, which trust boundaries must remain visible to the enterprise, what cryptographic and interoperability properties should be verified, and how requirements change across real-world use cases.

By Praveen Kumar Gopalakrishnan

Chainguard Launches Secure Workspaces and Checks for AI Coding Agents

Matt Saunders — Fri, 16 Oct 2026 09:00:00 GMT

Software supply chain security company Chainguard has announced two beta products for running and testing code written by developers and AI agents. Chainguard Workspaces provides remote development environments based on hardened microVMs, while Chainguard Checks moves continuous integration into the development loop. The company announced both products at its Assemble London event.

By Matt Saunders

Microsoft Commits Maia to Multi-Gigawatt Inference, and Its Efficiency Metric Draws Questions

Steef-Jan Wiggers — Fri, 16 Oct 2026 06:02:00 GMT

Microsoft will scale its Maia accelerator family to multi-gigawatt deployments from 2027, making it the primary inference system for its own products. Maia 300 collapses scale-up and scale-out onto one Ethernet fabric and moves KV state between prefill and decode workers without leaving it. Practitioners have questioned the tokens-per-watt claim that leads the announcement.

By Steef-Jan Wiggers

Instagram Modernized its UI with an AI-Native Architecture, Cutting Token Costs by 33%

Sergio De Simone — Thu, 15 Oct 2026 16:00:00 GMT

Instagram Direct migrated its Android UI from the legacy Android View system to Jetpack Compose, creating an AI-native UI codebase that is easier for AI coding agents to understand, modify, and maintain. According to Instagram engineers, the migration reduced UI code volume by 50% and token costs per AI agent session by 33%.

By Sergio De Simone