Latest Articles

Beyond the Vibe: Why AI Coding Workflows Need a Framework

"Vibe coding" with AI improvising without a plan is fast but costly, leading to high rework, wasted money on tokens, and low-quality code.

November 17, 2025

by Akash Lomas

· 7,139 Views · 2 Likes

Private AI at Home: A RAG-Powered Secure Chatbot for Everyday Help

Secure RAG chatbot built with Spring AI with local embeddings and PostgreSQL. Hosted on Linux PCs, it ensures privacy, context‑aware answers, reproducible deployments.

November 17, 2025

by Soham Sengupta

· 3,680 Views · 1 Like

From Data Lakes to Intelligence Lakes: Augmenting Apache Iceberg With Generative AI Metadata on AWS

Build an AI-augmented data lake using Iceberg, Glue, and Bedrock to turn static metadata into searchable intelligence with semantic tags and AI summaries.

November 17, 2025

by Vivek Venkatesan

· 5,937 Views · 1 Like

Kubernetes CNI Drivers

Learn how Kubernetes assigns pod IPs using CNI. This guide breaks down how container networking works and walks through building a simple custom CNI plugin.

November 17, 2025

by Ramesh Sinha

· 3,007 Views · 2 Likes

How Agentic AI Enhances API Testing

Agentic AI addresses API testing issues through test creation and maintenance, intelligent test coverage, and more. Here's how to prepare development workflows for AI.

November 17, 2025

by Zac Amos

· 3,441 Views · 3 Likes

Beyond Outages: Building True Resilience After the AWS Outage

True resilience means multi-cloud architecture, spreading critical workloads across AWS, Azure, or GCP with shared data, global load balancing, and unified monitoring.

November 17, 2025

by Jas Tandon

· 2,793 Views · 4 Likes

Integrating AWS With Okta for Just-in-Time (JIT) Access: A Practical Guide From the Field

Static IAM users, login roles were killing our security posture and slowing everyone down. So we wired Okta and AWS with SAML and Okta Workflows for JIT access.

November 17, 2025

by Sanjay Kurra

· 5,234 Views · 3 Likes

From Agent AI to Agentic AI: Building Self-Healing Kubernetes Clusters That Learn

Evolving from reactive Agent AI to autonomous Agentic AI: a self-healing Kubernetes system that learns from fixes and applies patterns automatically.

November 17, 2025

by Shamsher Khan

CORE

· 3,654 Views · 1 Like

The Software Architect's Mandate: Treating ChatGPT as a System, Not a Search Engine

ChatGPT is an architectural component, not a data retrieval tool. Architect inputs, outputs, and integration to leverage ChatGPT's power and mitigate its inherent risks.

November 17, 2025

by Dinesh Elumalai

CORE

· 1,357 Views · 1 Like

Evaluating AI Vulnerability Detection: How Reliable Are LLMs for Secure Coding?

Can AI spot real-world security bugs? Semgrep’s research compares LLMs on their ability to catch SQLi, XSS, and IDOR vulnerabilities.

November 14, 2025

by Jayson DeLancey

· 4,879 Views · 4 Likes

5 Agent CI/CD Evaluation Best Practices

5 lessons for AI agent evaluations we've learned the hard way: utilizing soft failures, automatic retries, explanations, avoiding flaky tests, and localized triggers.

November 14, 2025

by Lior Gavish

· 1,775 Views · 1 Like

Spectre and Meltdown: How Modern CPUs Traded Security for Speed

Spectre and Meltdown exploit CPU optimizations like out-of-order and speculative execution, leaking sensitive data despite software-level protections.

November 14, 2025

by Yash Gupta

· 1,863 Views · 1 Like

Data Ingestion Using Logstash: PostgreSQL to Elasticsearch

Learn how to use Logstash to ingest, transform, and send data to Elasticsearch, including incremental pipelines, filters, and best practices.

November 14, 2025

by Mangesh Walimbe

· 8,719 Views · 2 Likes

Best Practices for Migrating Data From Legacy Systems With AI

In this article, I will share my experience with AI-powered data migration, including what worked well and key lessons learned along the way.

November 14, 2025

by Mykhailo Kopyl

· 3,640 Views · 4 Likes

How the Craft of Software Engineering is Evolving With AI Advancement

AI is transforming software engineering — enabling it to direct intelligent systems, balance efficiency gains with judgement, and conduct defensive programming at scale.

November 14, 2025

by Sayantan Ghosh

· 29,966 Views · 1 Like

Proactive vs Reactive: Rethinking Your AWS Monitoring Approach

Dynamic AWS environments require both reactive and proactive monitoring approaches for secure and reliable operations. Learn about their differences and best practices.

November 14, 2025

by Igboanugo David Ugochukwu

CORE

· 3,512 Views · 1 Like

Exploring MCP, A2A, and Functional Calling: The Modern Innovations for Enterprise LLM Architecture

MCP, A2A, and functional calling are crucial for next-generation AI ecosystems. Learn more about integrating these approaches in your organizational AI strategies.

November 14, 2025

by Damodhara Reddy Palavali

· 1,822 Views · 1 Like

Building Smarter Systems: Architecting AI Agents for Real-World Tasks

AI agents can automate real-world workflows by making smart decisions. Use LangChain + FastAPI, modular tools, and strict testing for reliability.

November 14, 2025

by Vinod Veeramachaneni

· 1,626 Views · 2 Likes

Data-Driven Enterprise Apps: How Laravel Simplifies Analytics Integration

Laravel uses intelligent data analytics to make building enterprise apps easier, helping businesses make faster, data-driven decisions.

November 14, 2025

by Arun Goyal

· 1,664 Views

Databricks vs Snowflake: Complete Architecture Mapping for Enterprise AI and Big Data

This guide maps core data, big data, and AI/ML concepts between Databricks and Snowflake, with examples, diagrams, and a framework for choosing or combining the two.

November 13, 2025

by Ram Ghadiyaram

CORE

· 7,856 Views · 7 Likes

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