InfoQ Homepage News
-
AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.
-
Swift 6.4 Brings New Language Features and Swift Testing/XCTest Interop
Currently available as a beta in Xcode 27, Swift 6.4 introduces a range of enhancements: better C interoperability, simplified OS availability check, fine-grained warning control, async support in defer, efficient iteration for non-noncopyable types, up to 4x faster URL parsing, and improved interoperability between Swift Testing and XCTest.
-
AWS Previews FinOps Agent for Cost Analysis and Optimization
Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The agent can investigate cost anomalies, correlate spend changes with AWS activity data, and integrate with tools such as Slack and Jira to route findings to resource owners.
-
AWS Introduces Workload Credentials Provider for Automated Certificate and Secret Management
AWS has recently announced the AWS Workload Credentials Provider to automatically deliver and refresh certificates and secrets for applications. The open source tool reduces the need for custom automation, helps prevent outages caused by expired certificates, and works in both AWS and non-AWS environments.
-
Vercel Introduces Eve, an Open-Source Framework for Building AI Agents
Vercel has released Eve, an open-source framework for building, deploying, and operating AI agents in production. The framework uses a filesystem-based project structure to organize agent instructions, tools, skills, subagents, communication channels, and scheduled tasks, enabling developers to define agent behavior while reducing the amount of supporting infrastructure they need to implement.
-
Dapr 1.18 Introduces Verifiable Execution, Bringing Cryptographic Trust to AI Agents and Workflows
Diagrid has announced the release of Dapr 1.18, introducing what it calls Verifiable Execution, a new set of capabilities designed to bring cryptographic trust, provenance, and tamper-evident execution records to distributed applications and AI agents.
-
Argo CD 3.5 Tightens Supply Chain Security with Internal mTLS and Source Integrity
The Argo CD project released a v3.5 release candidate in June 2026. This version adds mutual TLS enforcement for internal components. It also includes Git commit signature verification for supply chain security and native ApplicationSet management in the UI. The release also graduates two significant features: impersonation and Source Hydrator, from alpha to beta.
-
How Cloudflare Solved a Congestion Bug in quiche
Cloudflare has recently shared how they uncovered an issue in their Rust implementation of CUBIC, a congestion controller algorithm, which prevented it from recovering from a scenario of heavy packet loss at the start of a connection.
-
Building a European Cloud Orchestration Platform within an Enterprise
Modern cloud deployments involve many tools with different lifecycles, creating a heavy burden on engineers. The Kubernetes ecosystem offers a unified Control Plane approach. Sharing best practices through tech talks and inner-source collaboration can create an engaged community and drive adoption.
-
Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration
Cloudflare released the Cloudflare One stack, an open-source library of agent skills for planning, deploying, and managing Zero Trust environments. The skills include automated migration logic for Zscaler and Palo Alto Networks, the same logic used in Cloudflare's Descaler program that has moved enterprise customers in hours rather than months.
-
Slack Outlines Four-Phase Journey to a Multi-Cloud AI Serving Platform
Slack has outlined how its AI serving infrastructure evolved through four distinct phases, moving from a self-managed Amazon SageMaker deployment to a multi-cloud architecture spanning AWS Bedrock and Google Cloud Vertex AI.
-
Grab Builds Secure Agentic AI Workload Platform
Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.
-
Anthropic Lead: HTML Increasingly Better Than Markdown at Keeping Humans Engaged in Agentic Loops
Thariq Shihipar, engineering lead for the Claude Code team, recently published a blog post (Using Claude Code: The Unreasonable Effectiveness of HTML) arguing that HTML, with its richer visualizations, color, and interactivity, improves the productivity of human-agent communication in many settings, especially when compared to default Markdown outputs.
-
Google OpenRL is an Experimental Self-hosted API for LLM Post-Training Fine-Tuning
Google's GKE Labs has introduced OpenRL, an open-source project that provides a self-hosted API for post-training and fine-tuning Large Language Models (LLMs) on standard Kubernetes clusters.
-
AI Is Moving up the Software Lifecycle: from Code Review to PRD Governance
Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber, DoorDash, and Cloudflare highlight a shift toward AI-driven governance layers that evaluate engineering artifacts before implementation while preserving human oversight across the development pipeline.