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Trending Technology Stories
From January 20, 2026

1

AI Doesn’t Mean the End of Work for Us

I believe that AI’s impact and future pathways are overstated because human nature is ignored in such statements.

@bernard
15,280 new reads
3

Governing and Scaling AI Agents: Operational Excellence and the Road Ahead

Success isn't building the agent; it's managing it. From "AgentOps" to ROI dashboards, here is the operational playbook for scaling...

@denisp
3,589 new reads
4

In a World Obsessed With AI, The Miniswap Founders Are Betting on Taste

Miniswap, a Warhammer marketplace founded by Cambridge students, is betting on taste, curation, and community over AI automation. Learn how...

@stevebeyatte
3,301 new reads
5

CI/CD Is Dead. Agentic DevOps is Taking Over

Traditional CI/CD pipelines are buckling under scale. Agentic DevOps promises less toil—but introduces new risks teams must understand.

@davidiyanu
3,166 new reads
6

Best HR Software For Midsize Companies in 2026

Modern midsize companies need platforms that balance sophistication with agility, offering powerful features without overwhelming complexity.

@stevebeyatte
2,052 new reads
7

Why Data Quality Is Becoming a Core Developer Experience Metric

Bad data secretly slows development. Learn why data quality APIs are becoming core DX infrastructure in API-first systems and how...

@melissaindia
1,707 new reads
8

Innovation And Accountability: What AstraBit’s Broker-Dealer Registration Signals for Web3 Finance

What AstraBit’s FINRA broker-dealer registration signals for Web3 finance, regulatory accountability, and how innovation and compliance can coexist.

@astrabit
1,679 new reads
9

Playbook for Production ML: Latency Testing, Regression Validation, and Automated Deployment

Even the most automated systems still need an underlying philosophy.

@stevebeyatte
1,567 new reads
10

9 RAG Architectures Every AI Developer Should Know: A Complete Guide with Examples

RAG optimizes language model outputs by having them reference external knowledge bases before generating responses.

@hck3remmyp3ncil
1,331 new reads
11

How Bayesian Tail-Risk Modeling can save your Retail Business Marketing Budget

Why average ROI fails. Learn how distributional and tail-risk modeling protects marketing campaigns from catastrophic losses using Bayesian methods.

@dharmateja
679 new reads
12

From Time Series to Causal Scenarios: A Statistical Guide to Counterfactual Forecasting

Learn how counterfactual forecasting helps data scientists measure true revenue impact by simulating causal scenarios beyond traditional time series models....

@dharmateja
668 new reads
13

We Replaced 3 Senior Devs with AI Agents: One Year Later

A Software Architect's account of replacing senior devs with AI. $238K savings became $254K in real costs. Why human judgment...

@dineshelumalai
586 new reads
15

A Developer's Guide to Building Next-Gen Smart Wallets With ERC-4337 — Part 2: Bundlers

Bundlers are the bridge between account abstraction and the execution layer.

@hacker39947670
516 new reads
16

How to Build a DAO from Scratch with Solidity and Foundry, Part 1: Designing the Governance Token

Learn how DAOs work by building a governance token with Solidity, OpenZeppelin, and Foundry, from deployment to testing on a...

@techexplorer42
487 new reads
17

680 Hours, 4 Rebuilds, and Getting Fired: How I Built Software While Working Warehouse Shifts

Just about alone programming, innovational program. My story.

@huckler
430 new reads
18

Jamming and Unjamming Starlink: High-Stakes Tech War in The Silent Sky

This deep dive into the physics of the jamming/unjamming Starlink is fascinating. Phased arrays, sidelobes, and the inverse square law—it's...

@zbruceli
420 new reads
19

How to Uninstall Windows 11 Updates When a Patch Breaks Your System

Learn how to uninstall problematic Windows 11 updates using Settings, Control Panel, Command Prompt, PowerShell, and Microsoft tools.

@vigneshwaran
375 new reads
20

SeaTunnel CDC Explained: A Layman’s Guide

The core design philosophy of SeaTunnel CDC is to find the perfect balance between "Fast" (parallel snapshots) and "Stable" (data consistency).

@williamguo
319 new reads