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

· 4,353 Views · 2 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

· 4,238 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

· 2,834 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

· 4,540 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

· 4,061 Views · 3 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

· 3,415 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

· 3,594 Views · 2 Likes

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

· 2,443 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

· 2,440 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

· 2,229 Views · 2 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

· 3,357 Views · 3 Likes

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

· 3,592 Views · 1 Like

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

· 3,553 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

· 2,342 Views · 2 Likes

Building a DevOps-Ready Internal Developer Platform: A Hands-On Guide to Golden Paths, Self-Service, and Automated Delivery Pipelines

Learn how to build an internal developer platform with golden paths, GitOps, CI/CD, observability, and governance built into workflows.

May 28, 2026

by Mirco Hering

CORE

· 3,498 Views · 3 Likes

Feature Flag Debt: Performance Impact in Enterprise Applications

Feature flags help teams move fast, but when they’re not cleaned up, they quietly add extra code, slow down performance, and make applications harder to maintain.

May 27, 2026

by Poornakumar Rasiraju

· 4,893 Views · 3 Likes

DevOps and Platform Engineering Readiness Checklist: Everything Needed for a Scalable, Secure, High-Velocity Delivery Platform

A practical checklist for platform engineering teams to improve DevOps, golden paths, reliability, governance, and developer experience at scale.

May 27, 2026

by Josephine Eskaline Joyce, Ph.D

CORE

· 3,900 Views · 3 Likes

Beyond Partitioning and Z-Order: A Deep Dive into Liquid Clustering for Unity Catalog Managed Tables

Liquid Clustering replaces rigid partitioning and Z-Order with adaptive clustering in Unity Catalog, improving performance with less maintenance.

May 26, 2026

by Seshendranath Balla Venkata

· 3,503 Views · 2 Likes

Architecting an Embedded Efficiency Layer: A Platform Deep Dive into Day-Two Operational Tuning

Learn how platform teams can embed continuous optimization into internal developer platforms using GitOps, HITL workflows, and full-stack tuning.

May 26, 2026

by Graziano Casto

CORE

· 2,726 Views · 3 Likes

Product-Led Software Delivery: Intelligent Platforms for DevOps at Scale

Platform engineering helps DevOps teams scale with golden paths, DevEx metrics, automation, and AI guardrails that reduce friction and improve delivery.

May 25, 2026

by Fawaz Ghali, PhD

CORE

· 3,242 Views · 2 Likes

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