Data Engineering Resources

The Context Window Trap: Why More Context Doesn’t Mean Better AI

More context can create more noise, cost, and confusion. AI systems perform better when they retrieve, rank, and prioritize relevant information.

October 5, 2026

by Chidiebere Njoku

· 1,053 Views · 2 Likes

I Tried Building a "Token Optimization Stack" for Coding Agents. Here's Why I Killed It.

My token-saving stack for Claude Code broke 2 of 3 fixes — and its best savings number came from no op run. Killed it before a trustworthy test hit $1,200+.

October 5, 2026

by Shreyash Thakare

· 916 Views · 1 Like

Building a Migration Readiness Engine for Analytics Workflows

The article describes building a "Migration Readiness Engine" to solve the visibility problem in large-scale analytics platform migrations.

October 5, 2026

by Ravi Krishna Palivela

· 757 Views · 1 Like

Building Enterprise File-Heavy AI Workflows: From Secure Uploads to Governed Document Intelligence

A reference architecture for secure, scalable enterprise Document AI, covering ingestion, processing, retrieval, governance, and lifecycle management.

October 5, 2026

by Dr Gopala Krishna Behara

CORE

· 1,619 Views · 1 Like

Building Time-Series Applications With Java and InfluxDB

InfluxDB brings time-oriented storage to Java applications, while Eclipse JNoSQL 1.1.18 simplifies integration through TimeSeriesTemplate and Jakarta Data repositories.

October 5, 2026

by Otavio Santana

CORE

· 1,343 Views · 1 Like

Kill the Worker, Keep the Research: Build a Recoverable LangGraph Agent on Temporal

Temporal’s durable orchestration and LangGraph checkpoints enable research agents to recover from worker crashes and resume from saved progress.

October 5, 2026

by Akhil Madineni

CORE

· 2,337 Views · 4 Likes

Wasm Inside Neo4j: Building the Example That Didn't Exist

A Rust VADER sentiment analyzer compiled to WebAssembly, embedded inside a Neo4j Java UDF, and callable directly from Cypher using wasmtime-java.

October 2, 2026

by Akmal Chaudhri

CORE

· 1,615 Views · 2 Likes

Why Time Series Databases Matter for Modern Enterprise Applications

Time-series databases simplify temporal workloads by treating time as a first-class dimension for recent-state, historical, trend, telemetry, and high-frequency data.

October 2, 2026

by Otavio Santana

CORE

· 1,549 Views · 2 Likes

AI on Top of a Dysfunctional System

Explore 10 Product Backlog anti-patterns that AI can make worse by masking dysfunction, missing evidence, and flawed decision-making.

October 2, 2026

by Stefan Wolpers

CORE

· 1,630 Views · 3 Likes

Beyond Clicking Buttons: Build a Browser Agent That Verifies Its Results With Playwright MCP

A browser agent uses Playwright MCP to verify outcomes, not just click. Explicit checks and evidence distinguish success from failure or uncertainty.

October 2, 2026

by Akhil Madineni

CORE

· 1,215 Views · 3 Likes

Docker Sandboxes Beyond the Laptop: Running AI Agents in the Cloud

In this article, we will discuss how to run your coding agents in the cloud using sbx. Cloud compute is usage-billed, so keep track of your sandboxes accordingly.

October 2, 2026

by Naga Santhosh Reddy Vootukuri

CORE

· 1,709 Views · 1 Like

How a 30B Model Runs on Your Laptop

Big tech builds massive GPU data centers for LLMs, yet laptops can run models like Llama or Mistral locally. How is this done?

October 1, 2026

by Akash Lomas

· 2,454 Views · 2 Likes

Embabel vs LangGraph4j: Two Agentic Philosophies for Investment and Risk Analysis in BFSI

The architectural divide between state-machine rigidity and agentic flexibility in financial systems, comparing stateful, multi-agent workflows.

October 1, 2026

by Soham Sengupta

· 1,668 Views · 2 Likes

Build Software Faster With Three Simple Principles

Reduce rework with three practical habits: concise feature documentation, technical refinement, and API contracts that let teams develop in parallel.

October 1, 2026

by Ilia Ivankin

· 1,470 Views · 2 Likes

How Go Maps Work: From Buckets to Swiss Tables

This article is for Go developers who write `m := make(map[string]int)` every day but have never looked under the hood. We will use a coat-check analogy.

October 1, 2026

by Ilia Ivankin

· 1,353 Views · 1 Like

Are Passphrases Still Secure in the Age of AI?

Passphrases have long been considered the most pragmatic answer to weak passwords, but the usage of AI raises a fair question: does "long and random" still hold up today?

October 1, 2026

by Constantin Kwiatkowski

· 1,479 Views · 1 Like

Designing a Role-Aware Runtime for AI Avatar Systems

Use one shared runtime for AI avatars, with role profiles and adapters managing safety, tools, streaming, and each embodiment.

October 1, 2026

by Himanshu Gautam

· 1,286 Views · 1 Like

Your Cloud Diagram Is Already Out of Date: An Operating Model for Continuous Security Architecture

A five-stage operating model — Define, Prevent, Observe, Validate, and Improve — for keeping multi-account cloud environments aligned with architectural intent.

October 1, 2026

by Avik Mukherjee

· 1,712 Views · 1 Like

Six Degrees of Ayrton Senna: Learn Neo4j by Connecting 75 Years of Formula 1

Learn about graph databases by building an F1 teammate network from real Formula 1 data and using Cypher to connect Max Verstappen to Juan Manuel Fangio.

September 30, 2026

by Jeremy Morgan

· 1,578 Views · 2 Likes

AWS 7R Migration Strategies: A Decision Framework for Engineering Teams

Learn how to classify workloads, choose the right migration path, and avoid the traps that turn 6-week projects into 6-month ones.

September 30, 2026

by Jerzy Kopaczewski

· 1,349 Views · 3 Likes

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