Culture and Methodologies Resources

Spec-Driven Development Renamed an Old Problem; It Didn't Solve It

Spec-driven development improves AI coding, but keeping specs in sync remains the same challenge teams have faced with docs and READMEs for years.

July 21, 2026

by Sam K

· 4,625 Views · 2 Likes

One Click From Requirements to Production: The Promise and the Reality

AI deployment demos always end before the hard part begins. Writing code is 20% of delivery. This article breaks down the hidden 80% that demos never show you.

July 21, 2026

by Sanketh Kumar Divveda

· 3,218 Views · 3 Likes

Agent Sprawl Is Your Next Production Incident: An SRE Response to Datadog's State of AI Engineering 2026

Datadog published the State of AI Engineering 2026 report. Read it. It's the most comprehensive look at AI in production available now.

July 20, 2026

by AJAY DEVINENI

· 4,378 Views · 2 Likes

7 Essential Guardrails for Building AI SRE Agents

AI agents can take over the first minutes of incident response, but only with the right boundaries. Seven guardrails that keep an SRE agent from becoming the outage.

July 20, 2026

by Akhilesh Rao Meesala

· 2,983 Views · 4 Likes

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

· 4,619 Views · 5 Likes

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

· 4,176 Views · 4 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

· 3,541 Views · 2 Likes

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

· 3,687 Views · 2 Likes

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

· 3,124 Views · 2 Likes

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

· 2,800 Views · 1 Like

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

· 2,522 Views · 2 Likes

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

· 4,320 Views · 2 Likes

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

· 4,667 Views · 19 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

· 4,574 Views · 5 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

· 2,034 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

· 1,757 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

· 2,515 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

· 2,008 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

· 2,334 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

· 3,612 Views · 4 Likes

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