Culture and Methodologies Resources

Agents, Tools, and MCP: A Mental Model That Actually Helps

Why more layers doesn't mean a better AI system, and how to think about agents, tools, memory, and MCP as building blocks you actually control.

July 15, 2026

by Jennifer Reif

CORE

· 3,861 Views

Compliance Reporting Without Losing the Spreadsheet or the Control

Keep the spreadsheet UI for domain experts, but move validation, execution, logging, and export into a governed Java application.

July 14, 2026

by Hawk Chen

CORE

· 3,637 Views · 2 Likes

Scaling Teams, Scaling Systems: Unlocking Developer Productivity With Platform Engineering

Platform engineering scales teams and systems, streamlines workflows, and reduces friction—driving faster delivery, collaboration, and sustainable growth.

July 14, 2026

by Ammar Husain

CORE

· 2,917 Views · 1 Like

From Gherkin to Source Code Without Losing the Business Language

Instead of hiding business rules inside technical layers, I'll show how to keep them visible and explicit in the code. The code reads like the original Gherkin scenario.

July 14, 2026

by Douglas Cardoso

· 3,262 Views · 1 Like

Top 10 Best Places to Prepare for Your Next Data Engineer Interview

Candidates must demonstrate strong SQL, Python, data modeling, ETL, Spark, data warehousing, and system design expertise while solving real-world data challenges.

July 10, 2026

by Rahul Han

· 2,127 Views · 1 Like

Building an Idempotent Job Queue in Node. js That Never Runs the Same Task Twice

Message queues will inevitably redeliver jobs, leading to critical duplicate side effects like double-charging customers.

July 8, 2026

by Bilal Azam

· 2,264 Views

An XGBoost Property Valuation Postmortem: Leakage, Overfitting, and SHAP Surprises

V1 had an R² of 0.84 despite a random split. That was a garbage statistic — random splits give future comps away by training on time-dependent data, and Optuna wins.

July 7, 2026

by Tejas Ashok

· 2,150 Views · 1 Like

AI-Augmented React Development: How I Rebuilt My Workflow Without Losing Control of the Code

AI accelerates React 18 workflows but breaks down in large enterprise codebases. Here’s where it helps, where it fails, and the guardrails your team needs.

July 1, 2026

by Sathwik Nagulapati

· 2,346 Views · 1 Like

The 20 Software Engineering Laws

20 software engineering laws that explain why rewrites fail, late projects slip, and teams game every metric. They're about people under pressure, so they still hold.

June 30, 2026

by Milan Milanovic

CORE

· 3,737 Views · 12 Likes

The New Senior Developer Job Description: Half Engineer, Half AI Systems Architect

Senior developers now own two roles: traditional engineering plus AI systems architecture. This split reshapes compensation, hiring, and what 'senior' actually means.

June 30, 2026

by Dinesh Elumalai

CORE

· 3,446 Views · 4 Likes

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

· 1,493 Views · 1 Like

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

· 1,229 Views

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

· 2,168 Views

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

· 1,553 Views

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

· 1,882 Views · 1 Like

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

· 2,302 Views · 2 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

· 3,852 Views · 1 Like

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

· 5,500 Views · 3 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

· 12,689 Views · 3 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

· 2,781 Views · 2 Likes

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