Latest Articles

Software Testing in LLMs: The Shift Towards Autonomous Testing

Software testing is undergoing its biggest transformation in decades in the LLM era. Intelligent testing and self-verifying agents redefine testing across SDLC pipelines.

March 6, 2026

by Kathiresan Jayabalan

· 3,247 Views

Hands-On With Kubernetes 1.35

Tested K8s 1.35's four key features on Azure VM: zero-downtime pod resizing, gang scheduling, structured auth, and node capabilities. All scripts and configs on GitHub.

March 6, 2026

by Shamsher Khan

CORE

· 3,202 Views · 1 Like

Failure Handling in AI Pipelines: Designing Retries Without Creating Chaos

AI systems require disciplined retry strategies. By applying bounded backoff policies, teams can prevent retry storms and control cost amplification.

March 6, 2026

by Aditya Gupta

· 2,651 Views

Reducing Daily PM Overhead With a Chat-Based AI Agent

An experiment in reducing project management overhead by removing small but costly routines around Jira updates, status clarifications, and daily reporting.

March 6, 2026

by Evgeniy Tolstykh

· 2,428 Views

When Million Requests Arrive in a Minute: Why Reactive Auto Scaling Fails and the Predictive Fix

Learn how to handle flash crowds with predictive, schedule-aware autoscaling, readiness checks, and tier-based capacity to prevent downtime and lag.

March 6, 2026

by Shalini Sudarsan

· 2,524 Views

Fabric's Resource Governance and Scaling Pitfalls

An overview of Microsoft Fabric scaling. Teams that optimize, isolate workloads, and monitor capacity can avoid performance issues and operational costs.

March 6, 2026

by Vishwa Kishore Mannem

· 2,017 Views

The A3 Handoff Canvas

The A3 Handoff Canvas helps teams use AI responsibly by defining task splits, inputs, outputs, validation, failure rules, and records for repeatable workflows.

March 6, 2026

by Stefan Wolpers

CORE

· 2,577 Views

Deterministic AI With OpenSymbolicAI

An agentic solution that follows the PlanAndExecute approach can leverage the power of LLMs while executing deterministic code to provide reliable results.

March 6, 2026

by Karthik Viswanathan

· 2,692 Views

Implementing Sharding in PostgreSQL: A Comprehensive Guide

PostgreSQL sharding distributes data by key across servers for horizontal scale. This guide shows how to shard a Sales table with practical SQL.

March 5, 2026

by arvind toorpu

CORE

· 4,531 Views · 2 Likes

42% of AI Projects Collapse in 2025 — The Battle-Tested Framework Wall Street Uses

Adopt the Three Lines of Defence (3LoD) framework: a banking-proven risk management system with three oversight layers. Result: 22% faster AI deployment + fewer failures.

March 5, 2026

by Nidhi Sharma

· 1,522 Views · 3 Likes

Consensus in Distributed Systems: Understanding the Raft Algorithm

Raft consensus simplifies reliability in distributed systems; essential for software engineers and architects making fault‑tolerant design decisions.

March 5, 2026

by Ammar Husain

CORE

· 1,988 Views · 2 Likes

Why “End-to-End” AI Will Always Need Deterministic Guardrails

End-to-end AI is probabilistic and prone to hallucinating unsafe physical actions. True safety requires wrapping these models in deterministic guardrails.

March 5, 2026

by Nishant Bhanot

· 1,681 Views · 2 Likes

Best OpenLens Alternatives for Kubernetes Visibility in 2025

OpenLens is a solid Kubernetes IDE, but as environments scale, teams need alternatives with better multi-cluster visibility and governance.

March 5, 2026

by Ankush Madaan

· 2,147 Views

From Rational Agents to LLM Agents

Learn how AI agents act rationally with AIMA’s theory and AIA’s practical architecture, balancing autonomy, feedback, and reliable decision-making.

March 5, 2026

by Trần Ngọc Minh

· 1,026 Views · 1 Like

Clean Code in the Age of Copilot: Why Semantics Matter More Than Ever

Your codebase is essentially a prompt: messy abstractions and "God Classes" pollute the context window, causing AI models to hallucinate or generate bugs.

March 5, 2026

by Nikita Kothari

· 2,388 Views · 3 Likes

Autoscaling Is Not Elasticity

Autoscaling is reactive, not resilient. Without caps, metrics, or overrides, it can worsen failures. True elasticity requires policy, testing, and bottleneck awareness.

March 5, 2026

by David Iyanu Jonathan

· 1,983 Views

Why Front-End Performance Issues Are Commonly Back-End Issues

A significant portion of the front-end performance issues that arise are not due to the frontend at all but to the back-end APIs, dependencies, and infrastructure.

March 5, 2026

by Satyam Nikhra

· 2,413 Views · 1 Like

A Transaction-Grade Performance Blueprint for Spring Boot FinTech Microservices (Tracing, Histograms, and Kubernetes)

A practical guide for improving FinTech microservice latency and reliability on Kubernetes using OpenTelemetry tracing, Prometheus metrics, and SLOs.

March 4, 2026

by Sibasis Padhi

· 3,092 Views · 1 Like

AWS Transfer Family SFTP Setup (Password + SSH Key Users) Using Lambda Identity Provider + S3

Deploy a managed AWS Transfer Family SFTP server backed by S3, using a Lambda identity provider for password and SSH-key logins.

March 4, 2026

by Praveen Chaitanya Jakku

· 4,633 Views

Token-Efficient APIs for the Agentic Era

TOON and TRON reduce token consumption by removing JSON's repetitive keys and delimiters, with TOON for tabular data and TRON for schema-stable agent flows.

March 4, 2026

by Vineet Bhatkoti

· 2,381 Views · 1 Like

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