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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Design a multi-channel notification system for OTPs, email, push, webhooks, and marketing campaigns using priority queues, deduplication, retries, circuit breakers, and delivery tracking.
Learn how to design offline-first applications with local storage, reliable synchronization queues, version-based conflict detection, and idempotent server operations.
Design a multi-step marketplace checkout as an orchestrated saga with compensations, idempotent retries, outbox events, and durable MySQL state.
Learn how to evolve event schemas safely in C# messaging systems using compatibility strategies, explicit contracts, optional fields, and versioned events.
Learn how the transactional outbox pattern prevents lost or invalid Laravel queue events using MySQL, Redis, idempotent consumers, and a reliable publisher.
I decided to write this article because I've been asked several times in technical interviews about the relationship between DDD Bounded Contexts and microservices. When we build applications with complex business requirements, we often see that Domain-Driven Design (DDD) and microservices architect
Learn how to contain payment and SMS outages with timeouts, Redis-backed circuit breakers, bulkheads, fallbacks, and queue retry policies in a Laravel marketplace.
Design idempotent checkout payments that prevent duplicate charges, stock updates, webhook processing, and queue jobs during retries and failures.
Learn how latency, throughput, and availability affect Laravel API health checks, including liveness, readiness, dependency failures, and load balancer behavior.
Learn why enterprises simplify their technology stacks and how standardization, Angular consolidation, and incremental migration can reduce costs, technical debt, and operational complexity.
Learn why long-running AI agents need durable execution, persistent workflow state, safe retries, idempotency, checkpoints, and fault-tolerant C# architecture.
Learn how to prevent duplicate articles when publishing API calls time out using stable idempotency keys, unique database jobs, retries, and reconciliation.
Compare 20 enterprise software risk tools across security, SCA, SBOM, architecture, AI code, and governance. See what each actually covers.
Andrew Ng’s AI engineering skills map identifies essential capabilities for working with coding agents. Software architect Mahesh Chand expands the map to include customer understanding, product judgment, workflow validation, feature prioritization, scalability, security, and responsible AI autonomy.
Evaluate software security, architecture, dependencies, provenance, and technical debt. Discover a practical framework for enterprise software due diligence.
Learn how enterprises assess third-party software risk across code, dependencies, provenance, architecture, AI code, technical debt, and governance.
Learn how to assess AI agent production readiness with observability, governance, evaluation, security, failure recovery, performance monitoring, and operational controls.
Learn how to build architecture gates for GitHub Copilot-generated pull requests in .NET using automated checks to enforce design rules and code quality.
Learn how to design and build a generic multi-tier application using a shared .NET architecture. This article explores a practical implementation of the SubmissionManager system, connecting Blazor web clients and Windows Forms desktop apps to a centralized ASP.NET Web API, designed for easy client customization and minimal UI refactoring.
Learn how to enforce architecture rules on AI-generated .NET pull requests using dependency checks, layering rules, forbidden references, and automated validation.
Learn how to design a video upload and processing system that handles millions of daily uploads, files up to 50 GB, virus and content validation, and global delivery — without your API servers becoming the bottleneck.
Graceful degradation is an architectural pattern that detects component failures and falls back to reduced functionality—ensuring core operations remain available and business continuity is preserved.
Learn how to enforce architecture rules on AI-generated .NET code using automated fitness tests for dependency direction, layering, forbidden references, and maintainability.
In enterprise software engineering, network failures, timeouts, and system glitches are inevitable realities. When a request fails mid-flight, standard distributed system resilience patterns trigger automatic retries. However, retrying an operation without safeguards can lead to critical data corruption, such as duplicate billing or corrupted system states. This is where idempotency becomes essential.
Build architecture fitness functions for AI-generated .NET code to automatically enforce architectural boundaries, dependency rules, layering constraints, design standards, and quality checks in CI pipelines.
Understand the difference between Decorator and Proxy design patterns in C#, including their intent, object wrapping, access control, behavior extension, caching, authorization, logging, and practical implementation examples.
Build automated architecture drift detection into .NET pull requests to enforce architectural rules, identify dependency violations, and prevent unintended design changes in CI.
Engineering FlowOps as a multi-tenant SaaS product required combining infrastructure principles with workflow design, role-based access, job lifecycle management, customer tracking, AI-assisted request capture, and operational reliability.
Learn how to design a multi-tenant SaaS application using tenant context, roles, permissions, ownership checks, and data-isolation strategies.
Build AI-assisted architecture gates for large .NET repositories that detect architectural violations while keeping deterministic rules, dependency constraints, and governance as the source of truth.
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