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Building a secure golden path: Cloudsmith x Octopus Deploy webinar

Mar 12, 2026 By Cloudsmith In Cloudsmith
What does it take to build a "Golden Path" that developers actually want to use? In this expert-led webinar, Cloudsmith and Octopus Deploy team up to explore the missing link in your software supply chain: turning artifact creation and management into an automated, trust-backed journey from source to ship.
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Beyond the build: How DataHub uses Cloudsmith to power worldwide software distribution

Mar 12, 2026 By Cloudsmith In Cloudsmith
You’ve built a world-class platform – now how do you get it into the hands of your users without "download friction"? In this video, we look at how DataHub, the leading open source metadata platform, uses Cloudsmith as its cloud-native distribution engine to deliver high-performance software artifacts to a global audience with zero downtime and zero maintenance.
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redgate

Redgate Test Data Manager Updates - March 2026

Mar 12, 2026 By James Hemson In Redgate
This is a guest post from James Hemson. Redgate Test Data Manager's latest release adds Entra ID authentication, multi-target anonymization, and direct treatment code editing, with workflow improvements to make pipeline management faster and more flexible. Entra ID Authentication You can now connect to SQL Server using token-based authentication via Azure Entra ID, for both anonymization and subsetting.
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upsun

Seven early warning signs you're heading toward a governance crisis

Mar 12, 2026 By Upsun In Upsun
Governance failures rarely start with a major outage or a failed audit. They start with small, localized signals that teams treat as isolated annoyances. By the time a crisis becomes visible, the structural breakdown is already expensive to fix. If you are in IT leadership or platform engineering, you have likely seen these signs. The risk is ignoring them until they consolidate into a systemic failure.
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speedscale

AI Coding Agents Have a UX Problem Nobody Wants to Talk About

Mar 11, 2026 By Kush Mansingh In Speedscale
The pitch was simple: let AI write your code so you can focus on the hard problems. Three years into the AI coding revolution, and developers are focused on hard problems alright, just not the ones anyone expected. Instead of designing systems and solving business logic, engineers in 2026 spend a startling amount of their day managing the AI itself. Should you use Fast Mode or Deep Thinking? Haiku or Opus? Cursor or Claude Code or Windsurf? Should you write a SKILL.md file or a custom system prompt?
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devart

Code Compare 5.5 R1 Adds Integration Support for Visual Studio 2026

Mar 11, 2026 By dbForge Team In Devart
We’re excited to share Code Compare 5.5 R1, the latest update to our code comparison and merge tool. This release adds integration support for Visual Studio 2026, so teams can compare changes and resolve merge conflicts directly within the IDE workflow they already use. With Code Compare 5.5 R1, developers can review differences, apply merges, and handle conflicts in Visual Studio 2026 using the same comparison experience they rely on across projects and repositories.
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speedscale

Your Flaky Tests Are a Data Problem, Not a Test Problem

Mar 11, 2026 By Ken Ahrens In Speedscale
Your tests are not flaky. Your test data is. That 401 Unauthorized that fails every Monday morning? The OAuth token in your test fixture expired 72 hours ago. The order_id that works in staging but not in CI? It was hardcoded six months ago and the format changed from integer to UUID in January. The timestamp assertion that passes at 2pm and fails at midnight? You are comparing a hardcoded 2026-01-15T14:30:00Z against Date.now(). These are not test infrastructure problems. Retrying them will not help.
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speedscale

Runtime Validation vs Static Analysis: Why You Need Both

Mar 11, 2026 By Ken Ahrens In Speedscale
Runtime validation does not replace static analysis. They solve different problems. Static analysis catches structural defects in code before it runs. Runtime validation catches behavioral failures by testing code against real production traffic. Enterprise teams adopting AI coding tools need both layers because AI-generated code introduces a new class of defects that neither layer catches alone. According to CodeRabbit's State of AI vs Human Code Generation report, AI-generated pull requests contain roughly 1.7x more issues than human-written ones. Many of those issues pass static checks cleanly.
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