Insights

Engineering perspectives grounded in practice

Engineering notes on building, modernizing, and operating enterprise software, AI systems, data platforms, and cloud infrastructure.

Engineering Blog

Production engineering decisions and trade-offs

Hands-on writing about enterprise AI, architecture, modernization, data, cloud systems, reliability, governance, and security.

Featured · AI Engineering

Why Most Enterprise AI Projects Fail Before the Model

Enterprise AI initiatives often fail because of weak data foundations, unclear architecture, poor evaluation, missing governance, and inadequate production engineering—not because of the model itself.

August 1, 202612 min read

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Existing insights

Software delivery and product engineering notes

Practical articles from the existing Vishleshak insight collection.

Enterprise Architecture

Designing Software Integrations for Dependable Operations

Practical integration design for reducing repetitive work, controlling failure modes, and creating dependable information flows between business systems.

March 28, 20255 min read

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Enterprise Architecture

APIs vs Webhooks for Enterprise Integrations

A practical comparison of request-driven APIs and event-driven webhooks, including delivery reliability, ownership, retries, and operational trade-offs.

March 11, 20259 min read

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Cloud

Reliable SaaS Integration Patterns

Engineering practices for secure, observable SaaS integrations with explicit authentication, retries, rate limits, and manageable failure modes.

March 5, 20258 min read

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Product Engineering

Structuring React Applications for Maintainable Growth

Practical React architecture choices for keeping components, state, performance, and team ownership manageable as a frontend codebase grows.

February 20, 20255 min read

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Cloud

DevOps Automation for Repeatable Software Delivery

How build, deployment, infrastructure, and observability automation make production releases more repeatable, visible, and recoverable.

February 10, 202510 min read

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AI Engineering

Where AI Creates Practical Operational Value

A grounded engineering view of AI-assisted workflows, enterprise information access, operational automation, and the controls production systems require.

January 15, 20248 min read

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