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lenses

Introducing Kafka Skills for AI Engineering Agents

May 11, 2026 By Jonas Best In Lenses
If you've written a line of code in the last 18 months, you already know this. Tools like Claude, Codex, Bob, Kiro and Cursor have made agentic software engineering the default. Most developers today are writing prompts as much as they are writing code. That shift changes what ‘developer experience’ means. Clean UIs, useful tools and good docs are still the foundation but the focus has shifted to ensuring a coding agent actually knows what it is doing, in the hands of a developer.
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lenses

Lenses MCP Server with OAuth 2.1

May 11, 2026 By Jeremy Frenay In Lenses
You can now drive Lenses from Cursor, VS Code, IBM Bob or Claude Code without running any extra piece of infrastructure locally. Lenses MCP offers secure tools across topics, schemas, Kafka Connect, SQL processors, consumer groups, datasets and pod logs: everything an engineer would normally click through in the Lenses UI, now reachable from any MCP-compatible client over HTTP.
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Rust Demo: Rust and C, C++ Mixed-Language Support in Perforce QAC and Klocwork

May 11, 2026 By Perforce In Perforce
In this demo, see how Perforce Static Analysis quickly and efficiently scans Rust code to detect security issues beyond memory safety. We also show you how the cross-language capabilities in QAC and Klocwork enable the analysis of mixed Rust, C, and C++ codebases.
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Why Your AI Strategy is Breaking: The Power of AI Anywhere with Cloudera

May 11, 2026 By Cloudera, Inc. In Cloudera
Hey, did you know AI can’t be confined to just one environment? AI is moving faster than ever, but it cannot be confined to a single environment. From the public cloud to on-prem data centers and out to the edge, AI is everywhere. However, when these environments remain siloed, your data strategy breaks—leading to inconsistent governance and scaling roadblocks. In this video, discover the vision of AI Anywhere. To unlock real business value, AI must operate exactly where your data lives, maintaining the same level of control, trust, and security across every platform.
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loadfocus

Why Simplified Test Script Creation Is the Future of Load Testing Efficiency in 2026

May 11, 2026 By LoadFocus In LoadFocus
For many QA teams, the real challenge in load testing isn’t infrastructure – it’s the complexity of legacy, code-heavy test scripts. Over time, the drive to add more scripting features has created a tangle of logic that slows teams down and limits what can be tested efficiently. While advanced scripting offers flexibility, it often comes at the expense of time spent on setup, fragile scripts, and mounting technical debt.
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keboola

You're not doing AI transformation. You're doing AI decoration.

May 11, 2026 By Pavel Dolezal In Keboola
Every enterprise AI story right now follows the same plot. You pick a system — Salesforce, Workday, SAP, NetSuite — and you bolt an AI agent on top of it. The agent can summarize deals. It can write follow-up emails. It can pull a report without you clicking through five dashboards. It is genuinely useful. And it is not transformation. What you have built is a smarter interface on top of a system designed for humans.
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tricentis

The accountability gap in agentic software delivery

May 10, 2026 By Lanier Norville In Tricentis
At some of the most sophisticated engineering organizations in the world, the best developers are already writing zero percent of code manually. AI agents are generating features, spinning up test suites, and moving software through delivery pipelines faster than most governance frameworks were designed to handle. The speed is real, and so is the exposure that comes with it.
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TestQuality

The 7 Playwright Pain Points Engineers Hit in Production (2026)

May 10, 2026 By Jose Amoros In TestQuality
Playwright is the standard for modern browser automation in 2026. It provides superior execution speed, native auto-waiting, and deep browser context control. However, running any automation framework at enterprise scale exposes operational friction. When engineering teams move from local execution to continuous integration, they encounter a consistent set of playwright pain points that the framework's official documentation rarely surfaces clearly.
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zymr

AI in Banking: Use Cases, Architecture & Implementation - The Complete Guide for Financial Institutions (2026)

May 10, 2026 By Zymr In Zymr
AI is already embedded in banking systems. The question is whether it’s delivering measurable outcomes or just adding another layer of complexity. Across the industry, investment is not the constraint. Banks spent over $73 billion on AI in 2025, yet most initiatives haven’t translated into production-scale impact. Nearly 95% of generative AI programs remain in pilot mode, and only a small fraction of institutions report clear ROI. The pattern is consistent.
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