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devart

How to Use PostgreSQL AI for Query Writing and Optimization

Jan 21, 2026 By Rosemary Asufi In Devart
PostgreSQL AI is gaining attention as SQL complexity increases in production environments. It addresses a common problem: extended queries that accumulate joins, nested logic, and edge cases. Without AI assistance, these queries are often harder to write and review, driving 20–40% of developer time into debugging. In practice, these challenges affect PostgreSQL users in different ways.
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gitkraken

How GitKraken's AI-Powered Commit Composer Eliminates Git Cleanup Headaches

Jan 21, 2026 By Iva Dobreva In GitKraken
As developers, we’ve all been there: a frantic coding session, a few hasty commits, and suddenly our Git history looks like a patchwork quilt of “fix,” “oops,” and “stuff.” While git rebase -i is a powerful tool for cleaning up, it’s also a source of anxiety for many, often leading to more headaches than it solves. What if you could achieve a pristine, meaningful commit history without the fear of breaking things or hours spent squashing and rewriting?
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logicmonitor

Why AI Automation for ITOps Needs Context Graphs

Jan 21, 2026 By Margo Poda In LogicMonitor
AI automation in ITOps fails because execution loses decision context, and context graphs turn incident history into durable execution memory that systems can actually reuse. AI automation for ITOps fails because it remembers what it did, but not why. Fixing an issue depends on what was tried last time, what failed, what worked, which exceptions were approved, and under what conditions. That information rarely lives in the system.
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speedscale

Digital Twins Gone Wild: My Unexpected AI Doppelgänger

Jan 20, 2026 By Alan Mon In Speedscale
I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me... and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor-or a very different definition of "twin." Forget Arnold Schwarzenegger and Danny DeVito. Digital Twins 2-Now Starring My AI Doppelgänger From Speedscale's perspective, a digital twin is built from real production traffic, continuously updated, and executable in your test and CI/CD environments.
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harness

Announcing the Harness Human-Aware Change Agent | Harness Blog

Jan 20, 2026 By Tina Huang In Harness
AI that understands human insight and connects it to the changes that drive real incidents. At Harness, our story has always been about change — helping teams ship faster, deploy safer, and control the blast radius of every modification to production. Deployments, feature flags, pipelines, and governance are all expressions of how organizations evolve their software. Today, the pace of change is accelerating.
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cloudzero

AI In 2026: Autonomous, Invisible, Expensive

Jan 20, 2026 By Bill Buckley In CloudZero
With all we’ve seen from AI in the last several years, it can be easy to forget that it’s still in its very early days. As torrid as its evolution has been thus far, it will only intensify. As SVP of Engineering at a B2B SaaS company, I’ve had a front-row seat for much of this evolution. Here are three ways I see AI heading in 2026.
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cortex

How AI amplifies your entire engineering culture

Jan 20, 2026 By Cristina Buenahora In Cortex
Anyone who has ever attempted to learn the guitar knows the lure of buying high-end gear. Surely, an expensive guitar and a best-in-class amplifier will hide the fact that you only know a few chords and maybe the lead line to that one song you keep hearing on the radio. What most players find out, however, is that spending thousands of dollars on gear doesn't change the fact that you're not that good yet.
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civo

How is the next wave of AI impacting the Indian cloud scene?

Jan 20, 2026 By Emma Stewart-Oram In Civo
Gartner has predicted that 2026 will see a 10.6% increase in India’s total IT spend from 2025 (2025: USD 159 billion vs 2026: USD 176.3 billion), with data centres, cloud infrastructure, and AI-enabled technologies driving this growth. This isn’t just a budget increase; it’s a fundamental shift in where innovation happens, who owns the infrastructure, and how we translate AI potential into scalable impact.
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