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    <title>InfoQ - Development - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Development News feed</description>
    <item>
      <title>AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed Mistakes</title>
      <link>https://www.infoq.com/news/2026/07/ai-agents-billing-guardrails/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/ai-agents-billing-guardrails/en/headerimage/generatedHeaderImage-1783852122330.jpg"/&gt;&lt;p&gt;A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude invocations on Bedrock. Combined with May's DN42 incident, where an autonomous agent provisioned $6,531 of oversized infrastructure in 24 hours, practitioners warn that cloud billing lags roughly a day behind agent-speed spend.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Cost Optimization</category>
      <category>AI Architecture</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 16 Jul 2026 10:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/ai-agents-billing-guardrails/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-07-16T10:17:00Z</dc:date>
      <dc:identifier>/news/2026/07/ai-agents-billing-guardrails/en</dc:identifier>
    </item>
    <item>
      <title>Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation</title>
      <link>https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/stripe-ai-agents-benchmark/en/headerimage/generatedHeaderImage-1783301844753.jpg"/&gt;&lt;p&gt;Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Integration</category>
      <category>Claude</category>
      <category>Web Browser</category>
      <category>AI Coding</category>
      <category>ChatGPT</category>
      <category>Stripe</category>
      <category>Validation</category>
      <category>Benchmark</category>
      <category>Agents</category>
      <category>AI Development</category>
      <category>Software Engineering</category>
      <category>payment</category>
      <category>AIOps</category>
      <category>Observability</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 15 Jul 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-15T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/07/stripe-ai-agents-benchmark/en</dc:identifier>
    </item>
    <item>
      <title>AWS Ships Claude Apps Gateway as Self-Hosted Control Plane for Claude Code and Claude Desktop</title>
      <link>https://www.infoq.com/news/2026/07/claude-apps-gateway-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;AWS and Anthropic have released the Claude apps gateway for AWS, a self-hosted control plane that centralizes identity, policy, telemetry, routing, and spend caps for Claude Code and Claude Desktop. The gateway runs as a single stateless container and routes inference to Amazon Bedrock or Claude Platform on AWS.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AWS</category>
      <category>Access Control</category>
      <category>Claude</category>
      <category>Cloud</category>
      <category>Anthropic</category>
      <category>Cloud Architecture</category>
      <category>AI Architecture</category>
      <category>Amazon Web Services</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 15 Jul 2026 11:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/claude-apps-gateway-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-07-15T11:04:00Z</dc:date>
      <dc:identifier>/news/2026/07/claude-apps-gateway-aws/en</dc:identifier>
    </item>
    <item>
      <title>Google Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks</title>
      <link>https://www.infoq.com/news/2026/07/cloud-workbench-vscode-extension/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;The Google Cloud Workbench Notebooks extension for VS Code is a new tool that enables developers to connect their local IDE directly to managed Jupyter notebook environments on Google Cloud.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Jupyter Notebooks</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>Google Cloud</category>
      <category>Google</category>
      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 22:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloud-workbench-vscode-extension/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-07-14T22:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloud-workbench-vscode-extension/en</dc:identifier>
    </item>
    <item>
      <title>Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents</title>
      <link>https://www.infoq.com/news/2026/07/agentic-resource-discovery-spec/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/agentic-resource-discovery-spec/en/headerimage/generatedHeaderImage-1783309687458.jpg"/&gt;&lt;p&gt;Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, discovering, and verifying AI tools, APIs, and agents. ARD introduces a discovery layer built on catalogs and registries, enabling dynamic capability discovery while leveraging existing protocols such as MCP and OpenAPI for execution and emphasizing trust and interoperability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Specification</category>
      <category>Distributed Systems</category>
      <category>AI Coding</category>
      <category>Agents</category>
      <category>github</category>
      <category>Agent2Agent</category>
      <category>AI Security</category>
      <category>Cisco</category>
      <category>Salesforce.com</category>
      <category>Google</category>
      <category>GoDaddy</category>
      <category>AI Architecture</category>
      <category>Service Discovery</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Microsoft</category>
      <category>AI Interpretability</category>
      <category>Platform Engineering</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 13:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/agentic-resource-discovery-spec/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-14T13:40:00Z</dc:date>
      <dc:identifier>/news/2026/07/agentic-resource-discovery-spec/en</dc:identifier>
    </item>
    <item>
      <title>Google's Genkit Ships Agents API with Detached Turns and Human-in-the-Loop for TypeScript and Go</title>
      <link>https://www.infoq.com/news/2026/07/genkit-agents-api-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/genkit-agents-api-preview/en/headerimage/generatedHeaderImage-1783618516951.jpg"/&gt;&lt;p&gt;Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, tool loops, streaming, and state persistence behind a single chat() interface. Detached turns let agents work after clients disconnect. Interruptible tools provide human-in-the-loop control with anti-forgery validation on resume.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Java</category>
      <category>API</category>
      <category>Open Source Project Releases</category>
      <category>Cloud</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Google Cloud</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 10:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/genkit-agents-api-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-07-14T10:17:00Z</dc:date>
      <dc:identifier>/news/2026/07/genkit-agents-api-preview/en</dc:identifier>
    </item>
    <item>
      <title>Evolutionary Data through Schemaboi: Achieving Forward, Backwards, and Sideways Compatibility</title>
      <link>https://www.infoq.com/news/2026/07/durable-document-schema/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/durable-document-schema/en/headerimage/generatedHeaderImage-1784010959321.jpg"/&gt;&lt;p&gt;Drawing from the enduring adaptability of HTML and HTTP,  Seph Gentle proposes embedding self-contained schemas directly into file headers, ensuring data remains readable without external definitions. His experimental format prioritises forward, backwards, and sideways compatibility, enabling data format evolution without central coordination or data loss&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Data</category>
      <category>Schema</category>
      <category>Emerging Technologies</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 08:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/durable-document-schema/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-07-14T08:08:00Z</dc:date>
      <dc:identifier>/news/2026/07/durable-document-schema/en</dc:identifier>
    </item>
    <item>
      <title>SwiftData Enhances Queries, Adds Support for External Types and Data Store Observation</title>
      <link>https://www.infoq.com/news/2026/07/swiftdata-27-whats-new/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/swiftdata-27-whats-new/en/headerimage/swiftdata-27-whats-new-1784012905834.jpeg"/&gt;&lt;p&gt;The 2027 release of SwiftData introduces support for persisting custom and third-party types via Codable, along with the ability to organize data into SwiftUI list sections. It also adds new capabilities for observing data store changes through ResultsObserver and HistoryObserver.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>SwiftUI</category>
      <category>Apple</category>
      <category>iOS</category>
      <category>Persistence</category>
      <category>MacOS</category>
      <category>Swift</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/swiftdata-27-whats-new/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-07-14T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/swiftdata-27-whats-new/en</dc:identifier>
    </item>
    <item>
      <title>How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone</title>
      <link>https://www.infoq.com/news/2026/07/doordash-ai-ask-assistant/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/doordash-ai-ask-assistant/en/headerimage/generatedHeaderImage-1782515732223.jpg"/&gt;&lt;p&gt;DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-based tooling, and an intelligence layer with persistent consumer memory and live backend data. Early results show up to 24% higher checkout conversion, 17% larger baskets, and improved intent accuracy using memory-backed sessions.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Natural Language Processing</category>
      <category>Distributed Systems</category>
      <category>Microservices</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>ChatBots</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Memory</category>
      <category>Prompt Engineering</category>
      <category>Platform Engineering</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 13 Jul 2026 14:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/doordash-ai-ask-assistant/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-13T14:08:00Z</dc:date>
      <dc:identifier>/news/2026/07/doordash-ai-ask-assistant/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: TornadoVM 5, JHipster, Google ADK, OmniFish Build of Payara, Introducing Vidocq</title>
      <link>https://www.infoq.com/news/2026/07/java-news-roundup-jul06-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/java-news-roundup-jul06-2026/en/headerimage/java-news-roundup-image-1783946170119.jpg"/&gt;&lt;p&gt;This week's Java roundup for July 6th, 2026, features news highlighting: the GA release of TornadoVM 5.0; point releases of JHipster, Keycloak and Google ADK; maintenance releases of GraalVM Native Build Tools and Micronaut; the OmniFish Build of Payara and introducing Vidocq, a new implementation of the Jakarta EE 11 Core Profile and MicroProfile 7.1.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Keycloak</category>
      <category>OmniFish</category>
      <category>Java</category>
      <category>JDK 28</category>
      <category>TornadoVM</category>
      <category>GraalVM</category>
      <category>Micronaut</category>
      <category>JHipster</category>
      <category>Vidocq</category>
      <category>JDK 27</category>
      <category>Google ADK for Java</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 13 Jul 2026 12:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/java-news-roundup-jul06-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-07-13T12:40:00Z</dc:date>
      <dc:identifier>/news/2026/07/java-news-roundup-jul06-2026/en</dc:identifier>
    </item>
    <item>
      <title>How to Build More Resilient Local-First Applications with AT Protocol Infrastructure</title>
      <link>https://www.infoq.com/news/2026/07/atproto-webapp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Jake Lazaroff discussed the AT Protocol as a framework for distributed applications beyond social networking. He emphasised a local-first architecture where users maintain data in PDSs while leveraging shared infrastructure for synchronisation and updates. The presentation included experiments showcasing collaborative tools and highlighted the benefits of reduced reliance on app-specific backends.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Web Applications</category>
      <category>Distributed Data</category>
      <category>AT Protocol</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 13 Jul 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/atproto-webapp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-07-13T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/07/atproto-webapp/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Identifies Race Condition in hyper’s HTTP/1 Implementation</title>
      <link>https://www.infoq.com/news/2026/07/cloudflare-hyper-bug-fix/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/cloudflare-hyper-bug-fix/en/headerimage/generatedHeaderImage-1782836612244.jpg"/&gt;&lt;p&gt;Cloudflare recently documented how its development team identified and fixed a rare bug in the widely used Rust HTTP library hyper that could silently truncate large HTTP responses while still returning a successful 200 OK status. The issue had existed for years, was triggered only under specific timing conditions, and has now been fixed upstream.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>HTTP</category>
      <category>Cloudflare</category>
      <category>Open Source</category>
      <category>Concurrency</category>
      <category>Debugging</category>
      <category>Rust</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 12 Jul 2026 06:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloudflare-hyper-bug-fix/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-07-12T06:18:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloudflare-hyper-bug-fix/en</dc:identifier>
    </item>
    <item>
      <title>Slack Introduces Agent Driven End-to-End Testing to Improve Resilience in UI Test Automation</title>
      <link>https://www.infoq.com/news/2026/07/slack-agentic-e2e-testing-ui/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Agentic testing is an AI-driven approach to end-to-end test automation introduced by Slack engineering. It uses AI agents that execute workflows based on intent rather than fixed scripts, adapting to UI and system changes at runtime. The approach aims to reduce brittle tests in distributed systems while complementing deterministic unit, integration, and E2E testing strategies.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Integration Testing</category>
      <category>Test Design</category>
      <category>UI Testing</category>
      <category>Agents</category>
      <category>Test Automation</category>
      <category>Software Engineering</category>
      <category>Test Driven</category>
      <category>Automated testing</category>
      <category>Slack</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 10 Jul 2026 13:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/slack-agentic-e2e-testing-ui/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-10T13:48:00Z</dc:date>
      <dc:identifier>/news/2026/07/slack-agentic-e2e-testing-ui/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Copilot CLI Gets Tabs and No-Config-File Tool Setup in Redesigned Terminal UI</title>
      <link>https://www.infoq.com/news/2026/07/copilot-cli-terminal-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/copilot-cli-terminal-ga/en/headerimage/header-1783593957858.jpeg"/&gt;&lt;p&gt;GitHub has made the redesigned GitHub Copilot CLI terminal interface generally available. It adds a tabbed layout for sessions, gists, issues, and pull requests; an in-session, form-driven setup for MCP servers, skills, and plugins that avoids hand-editing config files; and a cleaner, theme-aware, more accessible UI with screen reader support.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>copilot</category>
      <category>AI Assisted Coding</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Software Engineering</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 10 Jul 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/copilot-cli-terminal-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-07-10T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/copilot-cli-terminal-ga/en</dc:identifier>
    </item>
    <item>
      <title>How Datadog Used Claude and Cursor for Test-Driven Production Migration</title>
      <link>https://www.infoq.com/news/2026/07/datadog-ai-production-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/datadog-ai-production-migration/en/headerimage/datadog-ai-refactoring-1783667933483.jpeg"/&gt;&lt;p&gt;In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while evolving a critical production system using AI to overcome hard limits in its storage backend and significantly improve performance.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Refactoring</category>
      <category>Claude</category>
      <category>Postgres</category>
      <category>FoundationDB</category>
      <category>Large language models</category>
      <category>Performance &amp; Scalability</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 10 Jul 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/datadog-ai-production-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-07-10T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/datadog-ai-production-migration/en</dc:identifier>
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