Thanks for joining this week’s tech roundup, where AI, automation, and platform engineering increasingly intersect. The focus is on new agentic AI developments, including GitHub Copilot’s unified experience for desktop, terminal, and cloud. Improved agent workflows, the addition of models like Anthropic Claude Sonnet 4.5, and expanded Visual Studio/VS Code integration are changing how developers build and maintain software of all sizes. With features such as auto model selection, multimodal prompts, and extended analytics, AI-powered development and governance now reach broader audiences.

Microsoft’s public preview of Agent Framework and the wider adoption of Model Context Protocol support more robust multi-agent systems, making modular AI and process automation accessible across enterprise workflows. Updates to Azure and Microsoft Fabric deliver features for secure networking, automation, orchestration, multi-cloud connectors, and new open-source CLI tools. Developer communities benefit from improved DevOps automation, streamlined machine learning pipelines, and updated security—offering practical solutions for software delivery, quality, and supply chain protection. This week demonstrates consistent growth toward a connected development environment spanning coding, infrastructure, automation, and security.

This Week’s Overview

GitHub Copilot

This week, GitHub Copilot introduced new and updated features: deeper integration with Visual Studio and VS Code, expanded access to AI models such as Anthropic Claude Sonnet 4.5 for chat and CLI use, and improvements to agent workflows. .NET and Azure users benefit from better performance analysis and modernization tools. Copilot’s improvements include enhanced analytics, prompt engineering, and rapid prototyping for enterprise teams, supporting the move to AI-assisted coding across desktop, web, terminal, and cloud for increased developer flexibility and efficiency.

GitHub Copilot Integration in Visual Studio

Visual Studio 2022’s September 2025 release (v17.14) adds new capabilities for Copilot, pairing tools like the Profiler Agent and .NET Modernization Agent as part of ongoing agentic workflow automation. The Profiler Agent, accessible via Copilot Chat or the @Profiler command, delivers diagnostics and benchmarking, adding context-driven automation and performance review. Integrating BenchmarkDotNet simplifies modernization and Azure migration for .NET workloads.

Agent Mode produces faster responses and stronger context management, with better Model Context Protocol (MCP) support for extensibility and structured outputs. Features such as Mermaid diagram generation and code review promote collaborative development. The October roadmap highlights progress toward remote agents, MCP governance, group policy, and wider model support (Claude Sonnet 4.5, future GPT-5 Codex) as Visual Studio continues evolving as an AI-ready developer platform.

GitHub Copilot CLI and Terminal Workflows

CLI releases reinforce the transition from preview to general availability, replacing older extensions with a unified npm CLI. Anthropic Claude Sonnet 4.5 is now active in the terminal using the /model command for flexible model switching, continuing the shift toward cross-model agentic experiences. New CLI features support image handling, improved input processing, and refined context management for multimodal interaction.

Security and analytics improvements add detailed permission controls and dashboards for usage tracking, helping teams manage resources and promote transparency. Context truncation alerts and improved command forwarding strengthen developer tool reliability. Tutorials and practical guides support smooth onboarding for agentic workflows.

GitHub Copilot Coding Agent

With last week’s Coding Agent general availability and updated session controls, Copilot now includes a repository kickstart option to automate project scaffolding, making agent workflows more approachable for teams. The agent maintains pull request history to streamline code review rounds and onboarding. Claude Sonnet 4.5 integration builds on past model updates like GPT-5-Codex and Copilot-SWE, supporting better code generation and handling with practical SWE-bench feedback.

Recent admin guides help teams configure policies and manage models, providing governance for expanding AI-powered automation.

AI Model Selection and Integration in Copilot

Claude Sonnet 4.5 is now generally available in Copilot Chat and CLI, with unified policy controls and a public preview for automatic model selection. This transition marks full deployment from initial previews to availability across major IDEs (Visual Studio, VS Code, JetBrains, Xcode, Eclipse, GitHub.com, Mobile).

Automatic model selection in VS Code for Copilot Business/Enterprise automatically chooses between GPT-5, GPT-4.1, Sonnet 4, and Sonnet 3.5 to balance user experience and operational costs. Analytic transparency and billing features allow teams to monitor resource use. Bring Your Own Key (BYOK) lets organizations manage custom API credentials, and staged rollout plus policy controls help teams use AI responsibly.

GitHub Spark and Rapid Application Prototyping

GitHub Spark’s public preview for prototyping in Codespaces now enrolls Copilot Enterprise users, featuring better reliability and reduced setup effort. The update automates initial configuration and simplifies foundational tasks—a continuation of previous workflow orchestration changes.

Recent bug fixes, improved iteration history, and smoother workbench interfaces reflect Copilot’s ongoing push for productivity and onboarding improvements.

GitHub Copilot Advanced Documentation, Prompt Engineering, and Parallel Workflows

Documentation and prompt engineering updates build on last week’s adoption of standardized .prompt.md files and agentic parallel workflows. Tutorials outline methods for auto-generating README files, API documentation, and inline comments, supporting reusable prompts and modular documents that scale with team needs. Expanded parallel workflow techniques now let developers orchestrate tasks across Copilot Chat, CLI, and Coding Agent for faster delivery.

Spec-driven development merges Markdown for code and documentation, continuing from previous experimental workflow showcases. Tutorials and videos highlight Copilot’s broader utility for planning, brainstorming, and creative work.

GitHub Copilot Workflow Analytics and Registry Support

Copilot’s Premium Requests Analytics Dashboard, now generally available, provides granular usage tracking by user, model, and cost center, increasing admin oversight and supporting enterprise-level automation and transparency.

Model Context Protocol (MCP) Registry use continues to expand, building on last week’s guides concerning protocol development and integration. Teams increasingly experiment with open protocol customization for reusable agentic workflows.

Other GitHub Copilot News

Visual Studio Code introduces updates for background coding agents, building on previously reported advances in agentic automation. Feedback features and more customizable agent behaviors support context-aware development.

Workshops like “How to Master GitHub Copilot” offer hands-on training for MCP integration, modernization, and cloud deployment, supporting community learning as Copilot’s feature set expands.

AI

AI technology for developers saw new releases and expanded platform features, focusing on agentic models and enterprise automation. Microsoft Agent Framework now unifies orchestration experiences, integrating with Azure AI Foundry and Model Context Protocol (MCP). Grok 4 arrives on Azure AI Foundry with better reasoning and expanded context support. Updates center on improved automation, context retention, and data transformation, moving development teams from isolated models to modular, multi-agent workflows.

Microsoft Agent Framework: Unified Agentic AI SDKs and Ecosystem Integrations

Microsoft Agent Framework is now in public preview, bringing a unified and open-source SDK for agentic AI to .NET and Python. This initiative, building on prior orchestration efforts like Semantic Kernel and AutoGen, simplifies multi-agent management. By supporting open protocols (MCP), developers gain modular context management, human-in-loop routing, thread-based state, and integrated Azure AI Foundry experiences.

Case studies such as automated audit workflows for KPMG Clara and voice-assisted services for Commerzbank show practical enterprise adoption. Community involvement in open-source development provides migration support from older agent SDKs. Observability via OpenTelemetry and security controls with Entra ID reinforce last week’s progress.

Model Context Protocol (MCP) and Secure AI Integrations in Microsoft Fabric

Agentic AI open standards continue growing, with Fabric MCP’s API context streamlining developer experience across Microsoft Fabric. MCP’s standardization makes onboarding and automation quicker and safer, now reaching more data environments. The GitHub MCP Registry increases interoperability, and certified server discovery (including Figma, Postman, Terraform) demonstrates increased practical adoption.

Reviews of MCP’s effects show protocol-driven reduction of fragmentation and support for reusable workflows inside enterprise IDEs.

Grok 4: Advanced Reasoning Models in Azure AI Foundry

Grok 4 launches in Azure AI Foundry, expanding options after last week’s additions of new OpenAI and Anthropic models. Its multi-agent design and reinforcement learning take agentic automation beyond earlier Grok 3 updates.

Developers benefit from improved reasoning, larger context windows, and safer operations, while Foundry enables fast reasoning, summarization, and integrated code debugging for enterprise use—continuing a trend toward robust, compliant AI tools.

Copilot, Voice, and Intelligent Data Tools: Workflow Automation and NLP Integration

Copilot-powered automation now enables natural language workflow orchestration in Fabric Data Factory, continuing the momentum in analytics and user onboarding first seen last week.

Developers are adopting real-time voice-driven AI agents with Azure Voice Live API, applying conversational prompts and multimodal interactions for new process automation. Coverage of NLP tools explores documentation automation and references prior Copilot, VS Code, and JetBrains integrations.

Practical Guides for Agentic AI in Python and Enterprise Workflows

This week’s guides share best practices for agentic AI in Python and enterprise systems. LangChain and CrewAI libraries address context retention challenges described in earlier tutorials.

Tutorials and documentation emphasize automation for diagrams and onboarding in CI/CD, supporting ongoing architecture compliance improvements. AIOps guidance merges traditional monitoring and anomaly detection with AI, following last week’s coverage of improved analytics integration.

AI Agents: Concepts, Architecture, and Developer Adoption

Discussions on agentic AI concepts and workflow adoption revisit last week’s conversations around code ownership and community trust. New guides and videos analyze the software development lifecycle in the context of agent use, with hands-on coverage explaining how Azure AI Foundry and agent architecture tools lower costs and facilitate deployment.

Retrieval Augmented Generation (RAG) and Document Processing Workflows

This week introduces a practical RAG workflow guide integrating OpenAI and Azure SQL based on last week’s enterprise data-to-chat tutorials. Logic Apps add features for metadata chunking, helping automate compliance in contract review and documentation workflows.

Azure AI in Enterprise Workflows: Supply Chain & Scalable Cloud Infrastructure

Supply chain and forecasting solutions continue last week’s coverage of unified data workflows, showing business gains through resilient, AI-enhanced systems. Microsoft’s scalable AI infrastructure supports enterprise workloads for Copilot, ChatGPT, and other tools—underscoring reliability and developer productivity.

AI Ethics and Security in Scientific and Enterprise Environments

A Microsoft-led biosecurity report published in Science Magazine expands last week’s ethics coverage, focusing on safety measures and adversarial testing in generative models for biosciences. These conversations continue to emerge across scientific AI applications.

Other AI News

Visual Studio Code’s Bring Your Own Key (BYOK) support for model provider APIs follows last week’s workflow feature updates, enabling improved integration of third-party models in AI-driven coding.

Weekly Foundry Fridays AMA sessions grow community involvement, sharing technical best practices within Azure AI Foundry—videos are available for those seeking guidance on complex topics.

ML

This week’s updates in machine learning focus on deeper integrations with the Microsoft Fabric ecosystem: faster, more affordable data transformations, enhanced multitasking, and streamlined collaboration. Broader connectivity between cloud and analytics platforms and stronger tools for experimentation mark a focus on flexible, interactive enterprise workflows.

Dataflow Gen2 in Microsoft Fabric: Performance, Integration, and Developer Experience

Dataflow Gen2 in Microsoft Fabric gains a new pricing model, helping organizations manage ETL costs for jobs of all sizes. The Modern Query Evaluation Service speeds up parallel queries for lower expenses and shorter runtimes, advancing last week’s troubleshooting features like Spark monitoring APIs.

Real-time analytics and previews allow faster iteration on transformation logic, with outputs now targeting Fabric Lakehouse, Azure Data Lake Gen2, SharePoint (CSV), Snowflake (preview), and OneLake Catalog management—matching the trend of multi-environment integration.

Copilot now enables natural language transformation and ingestion, contributing to collaborative machine learning themes. Migration from Gen1 is supported by dedicated tools. Permission management, schema controls, and hybrid architecture improvements continue the previous focus on operational governance.

AI-Powered Data Transformation and Developer Tools

Fabric Data Wrangler now supports fast AI-driven text summarization, translation, and sentiment analysis through PROSE suggestions and live previews. Copilot prompts generate custom transformation code and feedback, minimizing manual coding for complex datasets. Conversion between pandas and PySpark further scales projects, while documentation and guides support adoption of these new workflows.

Multitasking and Workflow Improvements in Microsoft Fabric

Fabric’s updated horizontal tabs permit working on multiple items, along with workspace color coding and numbering to prevent errors and reduce context switching. The Object Explorer and higher concurrent item limits cater to users who need advanced multitasking—building on recent improvements for async processing and VS Code extension integration. These features are specific to Fabric.

Experimentation Analytics with Statsig in Microsoft Fabric

Statsig Experimentation Analytics in Fabric provides tools for running and analyzing A/B/n tests on OneLake data, using frequentist statistics and near real-time metrics via Statsig’s Explorer. Instant results allow rapid update cycles, and Power BI integration assists visual review of experiments. Structured workflows help teams validate ML models, continuing last week’s focus on practical MLOps processes.

Azure

Azure’s latest updates bring expanded automation in Microsoft Fabric, more secure data integrations, new open-source tools, improved CLI features, and fresh platform guidance. Service changes focus on lower costs and multicloud flexibility, with continued developer empowerment and adaptable platforms.

Microsoft Fabric: Data Integration, Networking, and Automation

Fabric’s Virtual Network Data Gateway is now generally available for Pipelines, Dataflow Gen2, and Copy Job, strengthening private networking options. Copy Job adds new connectors, advanced Change Data Capture (CDC for Snowflake), and a Variables Library—pushing hybrid orchestration forward. Data Factory has been updated with support for Workspace Identity, Private Link, Key Vault, and expanded automation. Fabric Mirroring for Azure SQL Managed Instance reaches GA, enabling mirrored data for analytics and AI in new scenarios. Workspace-level Private Link is also GA, increasing control for data science and ML teams. The updated On-premises Data Gateway improves BigQuery mirroring and compatibility with Power BI Desktop.

Advanced Connectivity, Mirroring, and Cross-Cloud Features in Fabric Data Factory

Fabric Data Factory introduces new connectors (AWS RDS Oracle, PostgreSQL 2.0, Databricks Delta Lake, Cassandra) for cross-cloud integration, better observability, and improved error management. Security upgrades include Entra ID authentication and TLS 1.3. Real-time Oracle Mirroring launches in preview, providing direct BI and ML query access and marking continued multicloud expansion.

Fabric CLI and Secure Data Movement for Fabric

Fabric CLI v1.1.0 is open source, offering new features like JSON output, workspace context selection, and folder organization for automation. Copy Job integration with Virtual Network Data Gateway supports compliance and private endpoint deployments, aligning with recent security improvements for data pipelines.

Azure Platform Updates, Service Announcements, and Cost Optimization

October’s Azure Update shares upcoming service retirements plus new features for Compute Gallery, SQL Database, and Traffic Manager. Guidance supports planning for lifecycle and resilience. The Azure Essentials guide offers practical advice on optimizing cloud and AI costs based on previous frameworks (CAF/WAF) and governance.

Azure Containerization and Storage Updates

Guides explain Azure Container Storage v2 and provide platform choices among AKS, App Service, and Azure Container Apps, supporting broader orchestration and deployment approaches. Note: Storage v2 requires redeployment for changes, with no direct migration path—continuing infrastructure planning updates.

Governance, Policy as Code, and Developer Security

Azure AI Landing Zones now integrate policy automation with Azure Policy, EPAC, and DevOps workflows, supporting compliance and repeatable infrastructure-as-code deployments with Bicep/ARM and centralized Entra ID. SystemData walkthroughs support streamlined auditing; SSSD and Entra ID integration help secure cloud-native Linux HPC clusters, reinforcing last week’s login and identity improvements.

Analytics, Monitoring, and Database Features

Fabric SQL DB’s point-in-time restore window expands to 35 days, further improving data resilience. New memory metrics, spillover visualization, and detailed query drilldowns help developers with troubleshooting and support Azure’s ongoing commitment to performance transparency.

Edge, Hybrid, and Multicloud Azure Developments

Azure Local is now generally available for government users, continuing support for compliant deployment. Oracle Database@Azure expands coverage for Oracle Database 19c and adds new regional support. Oracle AI World sessions and the Hybrid Cloud Playbook focus on multicloud deployments and architecture. HPE’s integration for SQL Server 2025 increases analytics and hybrid capability for Arc-enabled scenarios.

Event-Driven Architectures and Automation

Azure Event Grid introduces OAuth 2.0/JWT authentication and better MQTT support. Updates advance security for IoT and event-driven systems, including factory monitoring and SCADA/IoT integration.

Open-Source Initiatives and Developer Community

Microsoft continues open source progress with kernel contributions, CNCF involvement, and Model Context Protocol expansion—following up on events at All Things Open 2025 and emphasizing sustainable developer tooling and community participation.

SharePoint Embedded and SaaS Content Management

Guides for SharePoint Embedded continue last week’s news about integrating API-driven Microsoft 365 services, with secure and compliant content management for SaaS and ISVs.

Developer Workflow and Troubleshooting

New recommendations for exclusion logic in Azure Storage Actions and PowerShell troubleshooting simplify developer workflows. Updated guides on RBAC and authentication help teams adopt better security practices for automation scripts.

Community Contributions and Technical Spotlights

Microsoft Fabric’s influencer spotlight for September offers best practices on Power BI, scaling data science, and CI/CD troubleshooting—extending last week’s focus on successful analytics and deployment guidance.

Azure HPC, Event Management, and Workflow Integration

Cloud-native HPC expands at the HPC Roundtable 2025, in line with ongoing hybrid orchestration improvements and AMD VM news. Event SaaS solutions leveraging Azure for identity management and automation increase developer and operational productivity, supporting startups and ISVs.

Coding

Coding updates this week highlight improvements in Visual Studio and .NET, emphasizing better performance, day-to-day workflow enhancements, and clear API design. New frameworks and previews focus on more efficient, maintainable solutions for modern development.

Visual Studio 2026 Insiders: TypeScript 7 Native Preview and Razor Tooling Evolution

Visual Studio 2026 Insiders now offers a native preview for TypeScript 7, following last week’s advances in container tools and Aspire tracing. Native implementation yields faster compile times and reduced memory usage—empirical data from large projects (VS Code, Playwright) illustrates these gains. Microsoft is asking for community feedback to guide further changes.

Razor tooling updates improve Hot Reload and editing within the ASP.NET Community Standup, reflecting ongoing efforts for more responsive development and real-time feedback, with fewer build interruptions—continuing the consistent expansion of Visual Studio features.

Coding Agents and Workflow Automation in Visual Studio Code

Coding agent integration in VS Code is further refined to improve speed and accuracy, building on last week’s MCP-based automation and collaborative development advances. Feedback mechanisms allow developers to directly influence future improvements, promoting real-world, robust workflow automation.

Modern ASP.NET API Architecture with FastEndpoints and the REPR Pattern

Guidance for ASP.NET API design now favors the REPR (Request, Endpoint, Response) pattern with FastEndpoints, stepping away from the older controller structure featured last week. Marcel Medina’s tutorial provides clear, testable examples that support migration and database management, focusing on maintainable, scalable solutions.

Other Coding News

A timely reminder steers developers toward maximizing Visual Studio subscription perks, including monthly Azure credits, access to Microsoft dev/test software, and training portals such as Pluralsight and Cloud Academy. These tips support ongoing .NET lifecycle and migration planning for more efficient workflows.

DevOps

DevOps news showcases updated automation tools, AI integration, and security-focused platform practices. Teams work toward secure CI/CD, efficient AI-powered infrastructure management, improved governance, and practical connections between code, infrastructure, and incident response—all geared for reliable delivery and balanced development speed.

Secure NuGet Publishing and Trusted CI/CD Workflows

Andrew Lock’s step-by-step guide explains Secure NuGet Package Publishing using ephemeral credentials with GitHub Actions, replacing static API keys for direct nuget.org authentication. Developers specify workflow permissions and deploy the NuGet/login@v1 YAML action for flexible access, supporting secure collaboration and compliance. This builds on last week’s Trusted Publishing and security enhancements for CI/CD automation.

AI-driven DevOps Automation and Infrastructure Management

ControlMonkey introduces KoMo AI agents for automated Terraform provisioning, policy enforcement, and code analysis. These trace dependencies, review modules, and detect misconfigurations. env zero’s Cloud Governance Platform features a Static Code Analyzer Agent for policy-compliant fixes via pull requests, using Anthropic’s MCP to orchestrate multi-cloud resources. These platforms streamline manual work and standardize policy automation, continuing last week’s expansion of MCP-driven DevOps.

Azure SRE Agent Expands: Automation, Diagnostics, and Incident Response

Azure SRE Agent v2.0 moves into wider public preview, adding role-based access control, approval workflows, and secure automation for Azure resources. Diagnostics cover both core and specialized workloads, with incident response linking Monitor, PagerDuty, ServiceNow, GitHub, and Azure DevOps. SREs benefit from unified orchestration and Copilot-powered PR automation, transparent billing via Agent Units, and improved documentation—reinforcing recent agent-driven modernization efforts.

AI Adoption in DevOps: Trust, Velocity, and Pipeline Bottlenecks

Industry analysis shares that while AI use is nearly universal, mistrust and pipeline instability persist. Internal platforms report stronger results and faster delivery (63%) with AI, but incidents and deployment errors remain frequent. Less than 10% of teams have fully automated pipelines; cost and security drive modernization. This data continues last week’s discussion on balancing performance and stability, illustrating current strengths and challenges.

AI-driven Project Management for DevOps Teams

Shortcut’s Korey AI agent automates project management by turning natural language into actionable plans, tracking dependencies, and orchestrating work based on code comments, GitHub changes, and team workflows. Direct communication helps organize sprints and monitor blockers, reducing manual work and freeing engineers for coding. Korey expands AI’s project management role, building on last week’s coverage of Copilot Coding Agent and orchestration tools.

AI in the DevOps Lifecycle and Quality Assurance Mindset

DevOps guides recommend integrating AI-powered monitoring, testing, and pipeline automation to improve event correlation and vulnerability management—while highlighting the importance of data quality and integration planning. Teams are urged to prioritize automation for the highest-impact tasks. Another feature underlines that combining automation with exploratory QA creates stronger pipelines—engage QA early and build resilient scripts for meaningful business value. These articles reinforce recent best practices for maintaining robust, collaborative delivery pipelines with AI integration.

Platform, Tooling, and Workflow Updates

VS Live! Orlando 2025 previews hands-on training in Visual Studio, .NET, DevOps, AI, ML, cloud engineering, and security. Attendees will learn about tools ranging from AI debugging and Copilot-driven DevOps to .NET Aspire microservices, continuing previous attention to productivity and agentic workflows.

Other DevOps News

GitHub Actions cache eviction enforcement is postponed, giving teams more time for workflow optimization and aligning with earlier roundups about lifecycle management.

GitHub’s web interface adds interactive, one-click merge conflict resolution, streamlining collaboration and context management—building on recent onboarding and workflow enhancements.

MapYourGrid continues to invite users to contribute to an open energy infrastructure map using GitHub, offering opportunities for climate action through technical collaboration.

Security

Security news this week centers on practical advice for securing DevOps supply chains, AI workloads, and enterprise systems. Microsoft adds AI-driven security features and tighter governance, with ongoing incidents emphasizing risk management in automated environments.

DevOps and Supply Chain Security

Building on previous registry security discussions, the Shai-Hulud worm incident highlights risks in the DevOps supply chain—infecting npm packages and spreading via GitHub Actions due to pipeline gaps. The event stresses the need for ephemeral credentials, workflow isolation, artifact tracking, and real-time secret scanning. Industry guides debate custom-built versus off-the-shelf supply chain protection, underlining the need for thorough engineering and validation. Harness’s Qwiet AI (ShiftLeft) acquisition continues automation of security into native developer workflows.

Cloud Security, AI Workload Protection, and Governance on Azure

Microsoft Sentinel evolves into an agentic SIEM, integrating unified data lakes, graph-based threat tracing, AI agents, and workflow automation—expanding extensibility with VS Code, GitHub Copilot, and Security Store integrations. Security guides detail methods for protecting Azure AI workloads by deploying multiple layers: Defender for Cloud for threats, Purview for data classification, and Sentinel for incident response. Reference architectures and automation templates ease compliance for GPU VMs, AKS clusters, and data stores. Fabric’s Outbound Access Protection for Spark restricts data exfiltration, enhancing security for analytics and ML. Microsoft Purview announces new data classification and compliance tools following last week’s advanced data loss prevention (DLP) and labeling coverage.

Cloud Identity and Access Management (IAM)

Microsoft Entra decouples identity and security management from Azure, supporting unified Zero Trust for hybrid, cloud, and on-premises environments. Developers get hands-on guides for new features and secure authentication. Conditional Access policy troubleshooting reveals resource mapping gaps in Windows App/365, prompting calls for better documentation and tooling—topics covered in previous best practice guides.

Security Automation and Secret Management

GitHub secret scanning now validates credentials for Azure, MongoDB, and Meta, automating leak detection and incident response. Microsoft and HashiCorp’s best practices for Vault, Terraform, and Azure Verified Modules address identity-aware credential management, audit requirements, and privilege escalation risks in agent-based environments—continuing last week’s updates on managed identity and rotation.

Advanced Security Analysis and Developer Tutorials

A step-by-step guide to debugging CodeQL queries for Gradio Python vulnerabilities demonstrates the use of custom taint flows, abstract syntax tree visualization in VS Code, and refining query outputs. These lessons expand on previous CodeQL tutorials focused on strong static analysis.

Other Security News

Development tools now offer smoother debugging and improved performance, tackling workflow bottlenecks and supporting more productive routines.

Security advancements include more effective vulnerability management and compliance tools, following last week’s work on artifact signing and registry updates.

Updated migration and troubleshooting resources continue to support teams in solving everyday technical issues.