Culture and Methodologies Resources

Why Requirements Are Becoming the Control Layer in AI-Assisted Development

As AI generates more code and tests, requirements become the control layer that keeps delivery consistent, traceable, and aligned with the system context.

June 29, 2026

by Andrei Lavygin

· 1,925 Views · 2 Likes

Before the AI Coding Agent Writes Code: Structuring Scattered Requirements With PARA

AI coding agents often fail when the required context is scattered. It is about preparing better context before the agent writes code.

June 29, 2026

by Venkata Naga Satya Sai Vineeth Kondisetty

· 1,651 Views · 2 Likes

Building High‑Precision Vector Search for Document Retrieval on Databricks

Databricks Vector Search uses embeddings, hybrid search, and re‑ranking to deliver fast, accurate semantic retrieval at scale.

June 26, 2026

by Ramesh Bellamkonda

· 2,434 Views · 1 Like

What It Takes to Make Mainframe Modernization Work

At its core, modernization isn’t about replacing one system with another. It’s about improving how the organization operates.

June 26, 2026

by Robin Macfarlane

· 1,890 Views · 1 Like

The AI Definition of Done

The AI Definition of Done: human-in-the-loop is not a quality standard; you need a different approach for agent harnesses or operational excellence.

June 25, 2026

by Stefan Wolpers

CORE

· 2,223 Views · 2 Likes

A Practical Guide to Temporal Workflow Design Patterns

Learn Temporal workflow design patterns for reliable distributed systems using durable execution, sagas, polling, fan-out/fan-in, signals, and versioning.

June 18, 2026

by Akhil Madineni

CORE

· 3,292 Views · 4 Likes

WebSocket Debugging Without a Proxy — A Browser-First Workflow

A proxy-free workflow — online tester for endpoint validation, Chrome extension for live frame interception and transformation, no server access needed.

June 17, 2026

by Dan Pan

· 4,237 Views · 2 Likes

Cutting Data Pipeline Costs and Data Freshness Issues With Netflix Maestro and Apache Iceberg: A Practical Tutorial

Iceberg replaces filesystem state with a metadata tree (cheap queries, ACID snapshots). Maestro replaces cron with event signals (fresh data).

June 16, 2026

by Intiaz Shaik

· 5,908 Views · 4 Likes

Workflows vs AI Agents vs Multi-Agent Systems: A Practical Guide for Developers

Use workflows for control, agents for flexibility, and multi-agent systems only when complexity truly demands it. Add intelligence only where it makes a real difference.

June 15, 2026

by Raju Dandigam

· 14,029 Views · 4 Likes

From "Vibe Coding" to Production: Setting Up an Evals Loop for Claude Agents

Replacing unreliable “vibe coding” with a rigorous automated evaluation loop using curated datasets, Claude judge agents, and metric tracking for production AI agents.

June 11, 2026

by Nikita Kothari

· 3,345 Views · 3 Likes

A Deep Dive into Tracing Agentic Workflows (Part 2)

Tracing agentic systems uses hierarchical IDs to form a System DAG, exposing performance and cost issues. Observer agents automate diagnosis and system self-correction.

June 10, 2026

by VIVEK KATARYA

· 1,903 Views · 2 Likes

Orchestrating Zero-Downtime Deployments With Temporal

Temporal provides the durable control plane for safe zero-downtime deployments across canaries, approvals, retries, and rollbacks.

June 10, 2026

by Akhil Madineni

CORE

· 1,702 Views · 3 Likes

Amazon Quick: AWS's Agentic Workspace, Explained for Engineers

A technical deep dive into Amazon Quick — how it works, how it connects to your tools via MCP, and where it sits in the AWS agent stack.

June 9, 2026

by Jubin Soni, FBCS

CORE

· 9,497 Views · 1 Like

How to Build an Agentic AI SRE Co-Pilot for Incident Response

Build an agentic SRE co-pilot using LLMs to autonomously reason, plan, and execute incident response across complex, multi-cloud infrastructure.

June 8, 2026

by Akshay Pratinav

· 3,568 Views · 1 Like

Observability for Agents and Workflows: Tracing Prompts, Tool Calls, and Business Outcomes End-to-End

Learn how to trace AI agents end to end, from prompts and tool calls to business outcomes, with observability practices for production workflows.

June 5, 2026

by Srinivas Chippagiri

CORE

· 5,779 Views · 3 Likes

Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It

Most QA teams are stuck in a manual scripting loop. Here's the requirement-driven architecture that eliminates the coverage gap permanently.

June 5, 2026

by Waqar Hashmi

· 4,205 Views · 2 Likes

Identity in Action

A practical guide to SSO migration covering risks, MFA, phased rollout, and governance to ensure secure identity transitions without disruption.

June 3, 2026

by Kapil Chakravarthy Sanubala

· 3,549 Views · 6 Likes

Getting Started With Agentic Workflows in Java and Quarkus

A step-by-step tutorial on how to add agentic workflows to Quarkus applications with the Agentican framework via YAML and annotations.

June 3, 2026

by Shane Johnson

· 3,508 Views · 6 Likes

When One MVP Is Really Four Systems: A Better Way to Plan Multi-Role Apps

Many MVPs get too big because teams treat several user-facing systems and vendor-dependent workflows as one app instead of planning one complete path first.

June 2, 2026

by Kajol Shah

· 2,335 Views · 2 Likes

The Agentic Agile Office: Streamlining Enterprise Agile With Autonomous AI Agents

Agentic Agile Office uses autonomous AI agents to cut admin overhead, detect risks early, and shift teams from manual tracking to intelligent, high-velocity delivery.

June 1, 2026

by Madhusudhan Chivukula

· 2,714 Views · 3 Likes

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