Career Development Resources

Amazon Quick: AWS's Agentic Workspace, Explained for Engineers

A technical deep dive into Amazon Quick — how it works, how it connects to your tools via MCP, and where it sits in the AWS agent stack.

June 9, 2026

by Jubin Soni, FBCS

CORE

· 9,692 Views · 1 Like

Why Your QA Engineer Should Be the Most Stubborn Person on the Team

Strong QA is not checklist work. It combines investigation, analytical thinking, and technical communication to find failure paths early and improve the system over time.

May 14, 2026

by Alex Vakulov

CORE

· 2,551 Views · 5 Likes

You Learned AI. So Why Are You Still Not Getting Hired?

Most AI job seekers learn tools. Employers hire people who can specify tasks, evaluate outputs, manage risk, and deliver real business value with AI.

May 13, 2026

by Faisal Feroz

· 5,961 Views · 5 Likes

Stop Using the ATM-Didn’t-Kill-Jobs Story to Reassure Developers About AI

The ATM didn’t kill bank tellers’ jobs — the iPhone did. Getting the history right isn’t reassuring; it clarifies why developers should pay attention.

May 13, 2026

by Thomas Johnson

· 4,123 Views · 3 Likes

AI Didn't Replace Seniors; It Just Made Them the Bottleneck

The code generation era shipped a paradox: faster output, slower understanding, and a talent pipeline headed for collapse.

May 5, 2026

by Abgar Simonean

· 3,520 Views · 4 Likes

Cost Is an SLI: Why Your System Is “Healthy” but Burning Cash

Runaway cloud spend hides in healthy systems — driven by poor cost visibility, idle resources, and scaling inefficiencies. Fix it with cost-per-request metrics.

May 4, 2026

by David Iyanu Jonathan

· 2,180 Views · 1 Like

AI vs. Ageism: The Tech Industry’s Great Reset

AI is erasing tech’s age bias by boosting older workers’ speed and amplifying their experience—making them more productive, reliable, and valuable than ever.

April 28, 2026

by Chimela Caesar

· 2,780 Views · 3 Likes

Runtime FinOps: Making Cloud Cost Observable

Treat cloud cost as a real-time system metric tied to deployments. With tagging, CI/CD estimates, and alerts to service owners, teams can catch spend spikes early.

April 15, 2026

by David Iyanu Jonathan

· 3,271 Views · 1 Like

6 Books That Changed How I Think About Software Engineering in 2026

These six reshaped how I think about engineering: strategy, emotional intelligence, team effectiveness, software design coupling, ultralearning, and docs-as-code.

April 9, 2026

by Otavio Santana

CORE

· 5,542 Views · 2 Likes

Accelerating Your Software Engineering Career With Open Source and Jakarta EE

Open source turns preparation into visibility. Combined with open standards like Jakarta EE, it builds credibility, adaptability, and real-world impact.

April 8, 2026

by Otavio Santana

CORE

· 5,308 Views · 2 Likes

Serverless Glue Jobs at Scale: Where the Bottlenecks Really Are

At scale, Glue jobs become shuffle-bound, not CPU-bound. Skew and file strategy dominate runtime. Adding workers helps less than reshaping the workload.

March 13, 2026

by Vivek Venkatesan

· 5,500 Views · 2 Likes

AI Is Rewriting How Product Managers and Engineers Build Together

AI breaks the traditional handoff between product and engineering. Success will depend on how PMs and engineers share tradeoffs around cost, latency, and risk.

March 10, 2026

by Raman Aulakh

· 3,852 Views · 2 Likes

2026 Developer Research Report

The results are in from DZone's 2025 Community Survey. See what developers are building, learning, and adopting in this year's report.

March 6, 2026

by Carisse Dumaua

· 5,564 Views · 5 Likes

The Human Bottleneck in DevOps: Automating Knowledge with AIOps and SECI

DevOps pipelines are often automated, yet the operations side remains surprisingly manual. Here’s a framework to reduce toil using AIOps and the SECI model.

February 13, 2026

by Dippu Kumar Singh

· 2,029 Views · 1 Like

Building a 300 Channel Video Encoding Server

NETINT VPU Technology with Ampere® Altra® Processors set new operational cost and efficiency standards

February 3, 2026

by John Oneill

· 3,018 Views · 1 Like

Apache Spark 4.0: What’s New for Data Engineers and ML Developers

Spark 4.0 brings Spark Connect, enhanced SQL (PIPE, VARIANT), richer Python APIs, and advanced streaming — modernizing Spark for faster, more flexible 2025 workloads.

January 12, 2026

by harshraj bhoite

· 2,857 Views

Why Data Engineers Need to Think Like Product Managers

Data engineers who think like product managers build more valuable, trusted, and user-centric data systems; they focus on outcomes, ownership, and UX, not just pipelines.

January 6, 2026

by harshraj bhoite

· 2,619 Views

Building Your Own Ledger: A Solo Developer's Answer to Time and Money Chaos

This article provides a look at how developers can track time, manage projects, and link work to invoices without juggling multiple tools.

January 5, 2026

by Konstantin Om

· 1,501 Views

How We Predict Dataflow Job Duration Using ML and Observability Data

How Real-Time Observability Signals and Cloud-Native ML Models Improve Runtime Forecasting, Capacity Planning, and Operational Efficiency in Dataflow Pipelines

December 16, 2025

by Deepika Singh

· 1,452 Views

Building Your Tech Career Like Code: A Systematic AI Approach

Instead of chasing job postings, treat your career like engineering a system: analyze data, define requirements, build a roadmap, validate, and measure progress.

December 16, 2025

by Kevin Jeter

· 2,090 Views · 1 Like

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