Operations | Monitoring | ITSM | DevOps | Cloud

Inside The Builders Era: Why Developer Craft Matters More Than Ever

The software world has spent the last two years obsessed with one question: “Will AI replace developers?” Wrong question. The right question is: “How do developers stay in control while AI becomes part of the toolchain?” Welcome to The Builders Era, where the craft of software development and AI’s computational power meet on developer terms. Not as a replacement narrative. Not as a threat to our profession.

Boost Developer Experience with LLMs!

Your laptop is powerful enough to run your own LLM. Here's why that matters While centralized AI tools help teams, they miss something critical: your personal knowledge. Meeting notes, tips, tricks, and context only you have. Kyle Fransham shows how running a local LLM changes the game. Index your own "master document of knowledge" and query it right in your dev environment. No cloud needed. The tools are accessible. The setup is simple. And the impact? Game-changing for how you work.

GitKraken Desktop 11.6 Release: Shallow Cloned Repo Support

GitKraken Desktop 11.6 is here, shaped by real developer feedback. This release introduces support for shallow clones, a long-requested feature that improves performance for large repos and CI workflows. Simply open a shallow-cloned repo from the New Tab and you’re in. We’ve also made GitKraken AI more controllable and more contextual.

Why 2025 & Beyond is The Builders Era

The tech world loves buzzwords. We’ve lived through the Cloud Era, the Mobile Era, the AI Era (we’re still in that one, apparently). But 2025 marks something different. Something developers have been craving for years but couldn’t quite name. Welcome to The Builders Era. Not because of some shiny new framework or yet another platform promising to 10x your productivity. The Builders Era is happening because developers are done being spectators in their own craft.

What Happens When You Mix AI With Docker?

Discover how Docker is empowering developers in the GenAI era with tools that simplify AI application development. Docker VP of Product Michael Donovan shares how containers are critical for building, testing, and scaling GenAI applications, plus real solutions for the biggest challenges developers face today.

Easy JIRA Automation Anyone Can Do in Minutes

Tired of manually updating Jira issues after every change? Want to avoid the dreaded "what's the status of XYZ ticket" question? In this video, we’ll show you how to automate Jira updates using Smart Commits and Jira Automation Rules — so your issues always stay up to date without you lifting a finger. We’ll cover what they are and how they work, then walk through how to incorporate them into your workflows.

How the CLI Simplifies Git Workflows

Managing 50 repos with different Git workflows is like conducting an orchestra where every musician is playing a different song. We built GitKraken CLI to fix this: multi-repo actions, a single command for all things Git, and team-wide standardization that doesn't sacrifice speed. Watch the full video on how we're simplifying complex workflows without dumbing down Git.

Why AI Coding Assistants Fail (And How to Fix Them)

Why do developers stop using AI coding assistants? According to Carnegie Mellon research, the top reason is unhelpful suggestions. Tabnine's Principal Architect John Feeney explains how context transforms AI coding tools from generic to genuinely useful. Learn the 4 Cs framework for maximizing AI assistant value: Context (workspace indexing), Connection (repo integration), Coaching (rules-based guidance), and Customization (fine-tuning). Discover how Retrieval Augmented Generation (RAG) helps AI understand your codebase, not just open source patterns.