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Split your Bitbucket Pipelines workflows across multiple files | Bitbucket Blitz | Atlassian

Building and maintaining a 2000+ line bitbucket-pipelines.yml can be a lot of work. Now you can split large bitbucket-pipelines.yml files into multiple, smaller pipelines.yml files. These smaller files can be composed via shared pipeline syntax to replicate the functionality of the original bitbucket-pipelines.yml file. They can also be shared with and reused in other repositories.

90% AI Adoption. Still Failing. DORA Explains Why.

AI adoption is nearly universal. So why are most teams still struggling? In this session from GitKon, Nathen Harvey, head of DORA at Google Cloud, shares findings from the 2025 DORA State of AI-Assisted Software Development report, drawing on data from nearly 5,000 developers worldwide. The answer isn't more AI. It's what surrounds it.

Why Mandating AI Tools Backfires on Engineering Teams

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

Your Developers Feel More Productive. Your Codebase Disagrees.

AI adoption is up. Developer confidence is up. So why is code duplication up 10x since 2022? GitKraken VP of Developer Research Jeremy Castile shares the frameworks we built after analyzing 211 million lines of code and talking to hundreds of engineering teams. This is the playbook version of the research — practical, not theoretical. In this session, you'll learn: The gap between how productive developers feel and what's actually happening in the codebase is real. If you can't measure it, you're just guessing. Nobody wants to be guessing with this stuff.

GitKraken Desktop 12.0 Release: Agent Sessions, Terminal Performance Boosts, and More!

If you're running Claude Code, Codex, or Gemini, managing multiple sessions means one terminal per agent, status checks by window-switching, and worktree setup from scratch every time. GitKraken Desktop 12.0 adds structure to that workflow. What's new: Works with Claude Code, Codex CLI, Copilot CLI, Gemini CLI, and OpenCode.

Choosing Software for Consulting Business Success

Choosing software for a consulting business is an important task. The right set of tools ensures smooth communication, seamless project management, and the delivery of services as intended. Most consulting firms utilize technology to simplify daily tasks, manage client relationships, and ensure smooth operations. To make the right selection, you must understand your business requirements, software capabilities, and end-user expectations.

How DAM Software Speeds Up Content Workflows

Several teams still find it exceedingly difficult to manage digital files. Having endless photos, videos, and documentations can cause a bit of chaos. DAM software makes for a structured solution, which saves time and increases the productivity of companies where content plays a major role. The article discusses how DAM software speeds up processes and helps deliver better outcomes for teams.

AI Enablement for Dev Teams: The 6-Pillar Flywheel

AI adoption is already happening on your team, whether you have a strategy or not. Tracy Lee (CEO of This Dot Labs, Microsoft MVP, Google Developer Expert) breaks down the AI Enablement Flywheel — a 6-pillar framework used by successful engineering organizations to move from scattered experimentation to scalable, ROI-positive AI workflows.

The Quest for Workday Integration: A Tale of Transformation

An international IT solutions company recently embarked on a mission to reshape its HR operations. The HR team sought to revamp its workflows by connecting its ADP payroll system to Workday, ensuring new hire and employee data updates flowed seamlessly, like clockwork. Automation was the goal, and Workday integration lay at the heart of this strategy. The HR team's mission? Banish tedious manual tasks, minimize errors, amplify efficiency, and unlock the full potential of its workforce through cutting-edge automation. The brave and determined team accepted the challenge to turn this vision into reality.

How to Catch AI Code Mistakes Before They Reach Production

AI can write code fast, but it makes mistakes humans often don't. In this session from Ole Lensmar, CTO of Testkube, breaks down the real quality risks of AI-generated code and how engineering teams can build guardrails before those bugs hit production. What you'll learn: Common mistakes LLMs make (and which ones are unique to AI) Whether you're a developer leaning on AI to ship faster or a QA lead trying to keep up with the pace of AI-generated code, this talk gives you a practical framework for staying ahead of quality issues.