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How to Remove Watermark from AI Generated Images (Midjourney, DALL·E & Canva)

How to Remove Watermark from AI Generated Images (Midjourney, DALL·E & Canva)

Feb 16, 2026 By OpsMatters In OpsMatters
AI image tools have made it ridiculously easy to create artwork, mockups, social media visuals, and even product photography. But many platforms add watermarks - especially on free plans or previews. If you've downloaded an image and realized there's a logo, text overlay, or semi-transparent branding across it, you're not alone. Let's go through what actually works when it comes to removing watermarks from AI-generated images - and what usually makes things worse.
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speedscale

Oracle JDK to OpenJDK: A Guide to Reliable Migration Testing

Feb 15, 2026 By Matthew LeRay In Speedscale
One of the most common infrastructure changes Java developers and operators are dealing with today is the migration from Oracle Java to OpenJDK. The reason is the licensing changes made by Oracle and the maturity of the OpenJDK distributions. The migration process is quite simple: replace the JDK, recompile the code, and redeploy the application. However, the differences between the two runtimes can lead to unexpected issues that are not caught by unit tests.
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speedscale

Speedscale Named in Gartner Market Guide for API Testing

Feb 13, 2026 By Matthew LeRay In Speedscale
In the highly dynamic environment of modern engineering, an appropriate strategy for API quality is more important than ever. We are pleased to announce that Speedscale has been named in the latest “Market Guide for API and MCP Testing Tools” report from Gartner. As software development is shifting towards complex distributed architectures, integrating Model Context Protocol (MCP) for AI-based workflows, the need for realistic testing has never been higher.
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#053 - The Road to Distributed AI and Kubernetes Infrastructure with Matt Butcher (Fermyon) & Ari...

Feb 13, 2026 By Komodor In Komodor
They share their professional origins, highlighting how Kubernetes transitioned from a complex tool for experts to a foundational technology for global enterprises.. Part of the conversation focuses on the history of Helm, explaining its growth from a simple hackathon project into a standard package manager. Another part takes on the future of distributed computing, specifically how Akamai is integrating infrastructure as a service to support modern workloads.
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Context Management for Agentic RAG | Johan Jern, Co-founder & CTO at Realm

Feb 13, 2026 By Aiven In Aiven
Some queries are hard to solve with "basic" RAG. When questions require multi-step reasoning, full-document understanding (not just chunks), or aggregating many results that match specific criteria, simple retrieve-and-generate pipelines break down, we need agentic RAG. But this added capability comes at a cost: as agents plan, search, read, and iterate, they quickly use up a lot of context, which both degrades answer quality and increases costs and latency.
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Why Your Data Catalog is Your AI's Brain | Stan Dmitriev, AI Product Director at Aiven

Feb 13, 2026 By Aiven In Aiven
Data catalogs are no longer just for compliance - they are the essential context layer for AI. While LLMs are powerful, they fail without the "tribal knowledge" found in metadata. This session explores how to transform your catalog from a static repository into an active nervous system for AI agents.
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Rovo Dev Code Review in Bitbucket and GitHub | Bitbucket Blitz | Atlassian

Feb 13, 2026 By Atlassian In Atlassian
The demo portion of a recent webinar I did shows how to setup, configure, and use Rovo Dev code review in both Bitbucket and GitHub. Learn how to add custom coding standards to your repositories and see Rovo Dev check for the specific things you care about during code reviews. Learn how to add acceptance criteria to your Jira work items and see Rovo Dev verify them during code reviews.
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cloudzero

How To Design AI-Native SaaS Architecture That Scales Without Killing Your Margins

Feb 13, 2026 By Lyne Carolyne In CloudZero
AI-native SaaS products aren’t failing because the models are bad. They’re failing because the architecture can’t keep up with how AI actually behaves in production. What looks affordable in staging can erode your margins once real customers, workflows, and automation come into play. Designing AI-native SaaS architecture is now as much a margin decision as it is a technical one.
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