AI-Powered Code Review: Integrating LLMs into Development Workflows
While linters catch syntax issues, AI reviewers understand context, identify logical errors, suggest architectural improvements, and explain complex code…
71 articles
While linters catch syntax issues, AI reviewers understand context, identify logical errors, suggest architectural improvements, and explain complex code…
Document Intelligence understands document structure, extracting tables, key-value pairs, and semantic entities rather than just raw text. This structured…
AutoGen enables building sophisticated AI systems that can decompose complex tasks and collaborate to find solutions.
Configure pipelines to run on schedules or in response to data changes, enabling fully automated ML operations with minimal manual intervention.
For high-volume scenarios, implement batch processing with proper error handling and retry logic to ensure reliable document processing at scale.
Computational governance scales where manual review cannot. Embed policies in CI/CD pipelines to catch issues before they reach production.
AI-enhanced pipelines handle complex transformations and quality issues automatically.
AI code generation accelerates development while maintaining code quality.
AI-generated documentation reduces maintenance burden while improving quality.
AI-powered data quality catches issues that traditional rules miss.
AI supercharges dbt workflows with intelligent generation and optimization.
AI-assisted modeling reduces design time while improving schema quality.
AI transforms data quality from reactive checking to proactive management. Start with profiling and anomaly detection, then expand to automated rule…
Start small: identify repetitive, well-defined tasks in your organization. Build agentic workflows for those first. As you gain confidence, expand to more…
DataOps maturity directly impacts data reliability and team productivity. Invest in these practices to build a robust data operation.
Analytics agents reduce manual toil while improving data reliability. Start with monitoring agents for quick wins, then expand to exploration and quality…
Azure AI Agent Service provides the foundation for building sophisticated AI systems that can reason, plan, and act autonomously. Start with simple agents…
Agentic capabilities transform AI from a question-answering system into an autonomous problem-solver. The key is combining planning, tools, memory, and…
Computer Use is a significant step toward truly autonomous AI agents. Use it responsibly with appropriate safety controls.
Procedural memory captures: Action sequences : Steps to accomplish tasks Conditions : When procedures apply Parameters : Variables in the process Success…
Automated actions are what make Data Activator powerful. Today I'm exploring all the ways you can respond to data conditions automatically.
Reflex triggers are the heart of Data Activator. Today I'm diving deep into building sophisticated automated workflows that respond to your data.
Data Activator monitors your data and triggers actions when conditions are met: A Reflex is a Data Activator item containing: Objects : Entities to monitor…
Automation is key to maintaining reliable data pipelines. This guide covers scheduling, orchestration, and automation patterns in Microsoft Fabric.
Microsoft Fabric's REST APIs enable automation and integration with your existing tools. This guide covers the key APIs and common use cases.
Implementing CI/CD for Microsoft Fabric ensures reliable, repeatable deployments of analytics artifacts. This guide covers building end-to-end deployment…
AI can transform raw data into polished, narrative reports. This guide covers building automated report generation systems that combine data analysis with…
1. Handle image quality Validate before processing 2. Classify automatically Use LLM for categorization 3. Validate against policy Automate compliance…
1. Use prebuilt invoice Optimized for invoice extraction 2. Validate extractions Check confidence and totals 3. Implement three way match PO, invoice,…
I reviewed Data Activator during its preview; understanding limits and capacity impact is critical before go-live. This post explains what to watch for…
Data Activator (Reflex) brought event-driven automation to Fabric. In projects where real-time alerts matter, I've used Reflex to reduce mean time to…
File processing — extracting structured data from PDFs, converting between formats, parsing inconsistent CSVs, pulling content from Excel sheets with…
Function calling, released last week with the 0613 model versions, gives AI agents a proper foundation — and I've been rebuilding some agent prototypes to…
AI agents represent the next evolution of AI systems. By combining planning, tool use, and memory, they can autonomously accomplish complex goals while…
Artificial intelligence (AI) and machine learning are transforming the way we live and work. The rise of generative AI, such as ChatGPT, is adding a new…
These scripts are my gift to you for a more efficient 2023. Start with the cleanup script to reduce waste, then implement tag compliance and scheduling.…
The four key metrics gained mainstream adoption: Security integrated earlier in the pipeline: IaC practices became more sophisticated: Three pillars…
Feature Azure DevOps GitHub Actions YAML Config azure pipelines.yml .github/workflows/ .yml Hosted Runners Microsoft hosted GitHub hosted Self hosted Yes…
Our goal is to: 1. Automatically classify incoming documents as invoices 2. Extract key data (vendor, amount, date) 3. Route invoices through an approval…
return self.generate(prompt, maxtokens=500, temperature=0.3) return self.generate(prompt, maxtokens=500, temperature=0.2)
Composite actions bridge the gap between simple step sequences and full custom actions.
SQL Agent in Managed Instance provides enterprise-grade job scheduling without managing infrastructure.
AutoML accelerates model development while maintaining production-quality results.
The Power BI REST API enables: Automated content deployment Scheduled refresh management Administrative automation Custom tooling and integrations REST API…
Language detection enables: Intelligent multilingual routing Appropriate language specific processing Global customer support automation Content…
For content that belongs to multiple categories: Complete implementation: Category classification automates text organization: Route content to appropriate…
Text recognition unlocks information trapped in images: Digitize physical documents Automate data extraction Enable document search Support accessibility…
The business card reader streamlines contact digitization: Instant extraction of contact details Integration with CRM systems Perfect for events and…
AI Builder extracts the following fields from receipts: Receipt processing with AI Builder transforms expense management: Instant data extraction from…
AI Builder document processing transforms manual data entry: Pre built models for common documents Custom models for specific formats Human in the loop for…
Cloud powered RPA with Azure provides: Scalable bot infrastructure Queue based work distribution Centralized monitoring Enterprise grade security Combining…
Included with most Power Platform licenses: Require Power Automate Premium or per flow license: 1. Use managed identity when possible : Avoid storing…
Automated secret rotation ensures credentials remain secure while reducing operational burden.
Dependabot is an essential tool for maintaining secure and up-to-date dependencies.
Azure Automanage transforms VM management from a series of manual tasks into an automated, best-practice-driven process. It's ideal for organizations that…
The Databricks REST API exposes every workspace capability that the UI and CLI provide—and then some—making it the integration point for external…
The Databricks CLI is the command-line interface for Databricks workspace operations—running jobs, managing clusters, deploying libraries, uploading…
Lifecycle management policies automate the tedious work of data tiering and retention, ensuring compliance while optimizing storage costs without manual…
Create a scheduled function: Common CRON patterns: Implement patterns for tasks that may exceed timeout: Ensure single instance execution: Configure…
DSC works with three key components: Configurations : PowerShell scripts defining desired state Resources : Building blocks for configurations (files,…
Set up Update Management for your VMs: Onboard VMs to Update Management: Schedule update deployments: Create maintenance scripts: Query update compliance…
Set up Azure Automation: Create a runbook for VM management: Create a Python runbook for resource cleanup: Create schedules for automated execution: Create…
In Sentinel, SOAR is implemented through Playbooks (Logic Apps) and Automation Rules.
ADF trigger design is where data pipeline reliability is won or lost. Schedule triggers are obvious—run at midnight, run every hour—but the interesting…
Power Automate cloud flows are the thing I recommend to the "I don't want to write code" person on every client engagement, and they almost always produce…
GitHub Actions went from "interesting alternative to Azure DevOps Pipelines" to "my default CI/CD choice for most new Azure projects" in about twelve…
Backup configurations have a way of looking fine until the day you need to restore. Default policies, retention that doesn't match the actual RPO…
Microsoft made Power Automate Desktop free for Windows 10 users in March, which quietly turned every back-office worker into a potential RPA developer. It's…
DSC: configuration as code for infrastructure compliance.
Expressions turn simple flows into powerful automation.
Every cloud team eventually accumulates a folder full of "scripts I run monthly" — clean up old resource groups, rotate certificates, scale down dev…