Data Engineering Resources

From Pilot to Production: The Six Agent Patterns That Determine Whether Your AI Program Scales or Stalls

Most AI agent programs don't fail because of technology. They fail because nobody owns the agent and nobody monitors it.

July 2, 2026

by BALAJI BARMAVAT

· 1,705 Views · 1 Like

Multi-Agent Software Engineering: One Coding Agent Isn't Enough

Multiple AI agents with clear roles and checks deliver real software better than one agent, but cost more and only suit large tasks.

July 2, 2026

by Jithu Paulose

· 2,426 Views

Dead Letter Queue Patterns in Apache Flink: Handling Poison Messages Without Stopping Your Stream

A poison message can trap a Flink job in a restart loop. Use side outputs, retries, tiered DLQs, durable sinks, and replay jobs to keep the stream running.

July 2, 2026

by Rohit Muthyala

· 3,978 Views

Apache Spark Query Optimization on Databricks: Catalyst, AQE, and Photon Engine

Spark query performance on Databricks is driven by a multi-layer optimization stack: Catalyst transforms SQL into optimized execution plans.

July 2, 2026

by Jubin Soni, FBCS

CORE

· 2,586 Views

One Stolen Key, One Stolen Token: Why Machine Identity Is Cloud-Native's Quietest Crisis — and the Only Fix That Actually Holds

Learn how stolen machine credentials fuel major cloud breaches and how policy-as-code and short-lived identities help stop modern attacks.

July 1, 2026

by Igboanugo David Ugochukwu

CORE

· 4,072 Views

Why AI-Generated Code Is Making Regression Testing More Important, Not Less

AI-generated code introduces integration failures that spec-based tests cannot catch. Regression testing grounded in real production behavior is the fix.

July 1, 2026

by Sancharini Panda

· 2,123 Views

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

· 3,522 Views · 1 Like

If You Can Facilitate a Retrospective, You Can Audit Your AI

Learn how the AI Delegation Audit helps Scrum teams inspect AI workflows, catch automation drift, and keep delegated AI work safe and accountable.

July 1, 2026

by Stefan Wolpers

CORE

· 1,927 Views · 1 Like

Loop Engineering: The Layer After Prompt, Context, and Harness Engineering

This article walks through all four layers side by side, with comparison tables for when to use each one and which agent architecture fits which job.

July 1, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,849 Views · 2 Likes

Fine-Tuning LLMs at Scale With Databricks MLflow and Spark

Learn how Databricks, Apache Spark, MLflow, and Hugging Face Transformers work together to create an end-to-end fine-tuning platform.

June 30, 2026

by Jubin Soni, FBCS

CORE

· 1,782 Views

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

· 4,185 Views · 4 Likes

A Low-Latency Routing Pattern for Multiple Small Language Models

A low-latency multi-SLM architecture uses a lightweight router to direct requests to the most suitable language model, ensuring fast responses with minimal overhead.

June 30, 2026

by Akhil Madineni

CORE

· 2,041 Views · 2 Likes

A Fully Self‑Contained Text Embedding Service in C#

Build fast, deterministic text embeddings in C# using feature hashing, trigram features, and L2 normalization — no APIs, GPUs, or external models required.

June 30, 2026

by Mangesh Walimbe

· 1,154 Views

Architecting Trustworthy AI: Engineering Patterns for High-Stakes Environments

This post presents three domain-agnostic engineering patterns for building AI systems that remain safe even when the model is wrong.

June 29, 2026

by Sujay Puvvadi

· 1,811 Views

Building Production-Safe Agentic Remediation With Docker MCP Gateway: Lessons From 43% to 100% Accuracy

We built an AI Docker remediation system on MCP Gateway. First version: 43% correct. After 9 engineering fixes: 100%. Here's what changed.

June 29, 2026

by Mohammad-Ali Arabi

· 2,680 Views

Black Swan Bugs: Paving the Way for New Roles in Software Engineering

By outsourcing more of our thinking to probabilistic systems, we risk weakening the very human habit black swans demand: the habit of making the right questions.

June 29, 2026

by Stelios Manioudakis

CORE

· 3,291 Views · 3 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

· 1,822 Views · 1 Like

Mac Native Builds, Live Protocols, And Open Issues Under 350

The open issue count dropped below 350 after a push through the oldest reports, and the same week brought native Mac builds, WebSockets in the core, gRPC and GraphQL inte

June 29, 2026

by Shai Almog

CORE

· 1,101 Views · 1 Like