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June Recap: Building Modern AI Systems
Understanding june recap is essential for production AI systems. Here's what you need to know.
Development
53 articles
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Data Lineage: Building Modern AI Systems
Understanding data lineage is essential for production AI systems. Here's what you need to know.
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Metadata Management: Building Modern AI Systems
Understanding metadata management is essential for production AI systems. Here's what you need to know.
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Data Governance: Building Modern AI Systems
Understanding data governance is essential for production AI systems. Here's what you need to know.
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Unity Catalog: Building Modern AI Systems
Understanding unity catalog is essential for production AI systems. Here's what you need to know.
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Iceberg Ai: Building Modern AI Systems
Understanding iceberg ai is essential for production AI systems. Here's what you need to know.
1 min read
Delta Lake Ai: Building Modern AI Systems
Understanding delta lake ai is essential for production AI systems. Here's what you need to know.
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Data Lakehouse Ai: Building Modern AI Systems
Understanding data lakehouse ai is essential for production AI systems. Here's what you need to know.
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Batch Processing: Building Modern AI Systems
Understanding batch processing is essential for production AI systems. Here's what you need to know.
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Caching Strategies: Building Modern AI Systems
Understanding caching strategies is essential for production AI systems. Here's what you need to know.
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Load Balancing Ai: Building Modern AI Systems
Understanding load balancing ai is essential for production AI systems. Here's what you need to know.
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Model Serving: Building Modern AI Systems
Understanding model serving is essential for production AI systems. Here's what you need to know.
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Gpu Optimization: Building Modern AI Systems
Understanding gpu optimization is essential for production AI systems. Here's what you need to know.
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Kubernetes Ai: Building Modern AI Systems
Understanding kubernetes ai is essential for production AI systems. Here's what you need to know.
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Container Apps Ai: Building Modern AI Systems
Understanding container apps ai is essential for production AI systems. Here's what you need to know.
1 min read
Durable Functions Ai: Building Modern AI Systems
Understanding durable functions ai is essential for production AI systems. Here's what you need to know.
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Azure Functions Ai: Building Modern AI Systems
Understanding azure functions ai is essential for production AI systems. Here's what you need to know.
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Serverless Ai: Building Modern AI Systems
Understanding serverless ai is essential for production AI systems. Here's what you need to know.
1 min read
Azure Event Grid Ai: Building Modern AI Systems
Understanding azure event grid ai is essential for production AI systems. Here's what you need to know.
1 min read
Kafka Ai: Building Modern AI Systems
Understanding kafka ai is essential for production AI systems. Here's what you need to know.
1 min read
Event Driven Ai: Building Modern AI Systems
Understanding event driven ai is essential for production AI systems. Here's what you need to know.
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Websocket Ai: Building Modern AI Systems
Understanding websocket ai is essential for production AI systems. Here's what you need to know.
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Streaming Inference: Building Modern AI Systems
Understanding streaming inference is essential for production AI systems. Here's what you need to know.
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Real Time Ai: Building Modern AI Systems
Understanding real time ai is essential for production AI systems. Here's what you need to know.
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Post-Build 2025: Implementing New Features
Start with non-critical systems to validate changes before production deployment.
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AI Debugging Techniques: Diagnosing AI System Issues
Systematic debugging enables quick identification and resolution of AI issues.
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Semantic Kernel 2.0: Major Updates and New Features
Semantic Kernel 2.0 provides enterprise-ready AI orchestration with improved developer experience.
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Build 2025: The Copilot Stack Deep Dive
The Copilot Stack makes it straightforward to build AI-powered applications across the Microsoft ecosystem.
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Mobile AI Development: Building Intelligent Mobile Apps
Mobile AI brings powerful intelligence to users while respecting privacy and working offline.
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Copilot Extensibility: Building Custom Copilot Experiences
Custom Copilot plugins bring your business data into the AI conversation.
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Semantic Kernel Patterns: Building AI Applications with Microsoft's SDK
Semantic Kernel provides a clean abstraction for building AI applications with plugins and natural language orchestration.
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Building AI Copilots: From Concept to Production
Build copilots that understand context, use tools effectively, and provide clear explanations.
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AI-Assisted Development: How AI is Changing How We Build
AI-assisted development is here to stay. Learn to use these tools effectively while maintaining code quality and understanding.
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OpenAI API Updates: September 2024 Changes You Need to Know
o1 introduces new parameters while removing some familiar ones: Feature GPT 4o o1 preview System messages Yes No Streaming Yes No Function calling Yes No…
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Fabric SDK: Python Development for Microsoft Fabric
The Microsoft Fabric SDK provides a Pythonic interface for working with Fabric services. This guide covers installation, configuration, and common…
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Copilot Chat: Transforming Developer Productivity
{f'Stack trace: {stacktrace}' if stacktrace else ''} response = await self.client.chatcompletion( model="gpt-4", messages=[ {"role": "system", "content"…
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GitHub Copilot X: The Next Generation of AI-Powered Development
Commit messages: {commitsstr} {f'Related issues: {issuesstr}' if issuesstr else ''} response = await self.client.chatcompletion( model="gpt-4"…
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Azure OpenAI Python SDK: A Complete Developer Guide
The Python SDK for Azure OpenAI (openai package with Azure-specific configuration) is the de facto starting point for Azure OpenAI development—the largest…
2 min read
AI Pair Programming with ChatGPT: A New Development Paradigm
Let's walk through building a REST API with ChatGPT as our pair. Me: "I need to build a REST API for a task management system. The requirements are: users…
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C# 11 Features: Raw String Literals, Required Members, and More
No more escaping nightmares. Raw string literals start and end with at least three quotes: They work with interpolation too just add more dollar signs: This…
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Debug Sessions for Cognitive Search Skillsets
Debug sessions are essential for developing and troubleshooting complex AI enrichment pipelines efficiently.
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Quantum Simulators: Testing Without Quantum Hardware
Azure Quantum provides several simulator options: Simulates all 2^n amplitudes: Run with the full state simulator: Efficient for states with few non zero…
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Power BI External Tools: Extending Desktop Capabilities
External Tools transform Power BI Desktop into a professional development environment: Enhanced DAX development Better performance analysis Automated…
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Power BI .NET SDK: Building C# Applications with Power BI
The Power BI .NET SDK provides: Strongly typed API access Simplified authentication Full Power BI API coverage Easy integration with .NET applications SDK…
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Power BI Embed for Customers: Building Analytics Portals
Embed for customers enables powerful analytics in customer facing applications: No Power BI licenses required for end users Complete control over user…
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Power BI Embedded: Analytics in Your Applications
Power BI Embedded enables rich analytics in any application: Interactive reports and dashboards Secure multi tenant access Programmatic control and…
4 min read
Codex Models: AI-Powered Code Generation for Developers
response = openai.Completion.create( engine="code-davinci-002", prompt=prompt, maxtokens=300, temperature=0.3 )
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Hot Reload in .NET 6: Edit Code Without Restarting
This is different from traditional "Edit and Continue" debugging - Hot Reload works with or without the debugger attached.
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C# 10 Features: Writing Cleaner, More Expressive Code
C# 10 continues the trend of making the language more expressive while reducing boilerplate. Combined with .NET 6's performance improvements, it's a great…
2 min read
.NET 6 GA: The Long-Term Support Release That Changes Everything
No Startup.cs, no Main method, no namespace declarations. This is possible thanks to C# 10's global usings and file-scoped namespaces.
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MSAL Libraries Deep Dive: Cross-Platform Authentication
MSAL handles: OAuth 2.0 protocol flows Token caching Token refresh Multi account support Conditional Access handling For APIs calling downstream APIs: MSAL…
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Microsoft Identity Platform: Modern Authentication for Developers
Azure AD : Identity provider OAuth 2.0 & OpenID Connect : Protocols Microsoft Authentication Library (MSAL) : Client libraries Microsoft Graph : API for…
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Azure DevTest Labs: Managed Development Environments
Every consultancy I've worked at has the same problem: developers need a sandbox, finance needs to not get a heart attack, and three months later there are…