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katalon

Ai-Powered Test Automation: A Complete Guide for Engineering Leaders

Mar 24, 2026 By Huyen Nguyen In Katalon
Your developers are shipping more code than ever. GitHub Copilot, Cursor, and tools like them have fundamentally changed developer throughput - some teams are seeing 40-76% more code per person per sprint. That is the headline everyone celebrates. The part that keeps engineering leaders up at night is the other side of that equation: your testing pipeline has not changed at the same pace. Tests that used to gate two releases a week now need to gate ten.
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xray

How to Easily Build Automation Scripts with Xray's AI Test Script Generation

Mar 24, 2026 By Mariana Santos In Xray
Test automation is widely recognized as essential to modern delivery; it enables faster feedback, supports CI/CD practices, and increases release confidence. Yet in many organizations, automation growth lags behind development velocity. The reason is rarely a lack of intent. It’s the effort required to convert validated manual tests into automation scripts.
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ClearML

Full Autonomy, Full Security: ClearML and SUSE k3k Bring Virtual Kubernetes Clusters to Enterprise AI

Mar 24, 2026 By ClearML In ClearML
Kubernetes has become the de facto substrate for enterprise AI infrastructure. Its ability to handle complex, long-running workloads, self-healing capabilities, and rich ecosystem of GPU operators, storage drivers, and networking tools make it the natural platform for organizations scaling AI beyond the lab.
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keboola

Build a Data Input App with Kai

Mar 24, 2026 By Keboola In Keboola
This is a Data App that collects structured product submissions from a team, validates them, queues them for approval, and writes approved entries directly to a Keboola table. I built it with Kai in one conversation. No Google Sheets. No broken column headers. No emailing CSVs. If you've ever needed your team to submit structured data - new products, budget inputs, campaign briefs, vendor details - and the spreadsheet approach keeps falling apart, keep reading.
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dreamfactory

The AI Supply Chain Is Now Critical Infrastructure: Lessons from the TeamPCP Campaign That Hit Trivy, Checkmarx, and LiteLLM

Mar 24, 2026 By Kevin McGahey In DreamFactory
In the span of five days in March 2026, a single threat actor—TeamPCP—compromised a vulnerability scanner (Trivy), a code analysis platform (Checkmarx), and the most widely used LLM proxy in the Python ecosystem (LiteLLM). The attack chain was surgical: each compromised tool provided credentials to attack the next target.
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dreamfactory

The LiteLLM Supply Chain Attack: A Complete Technical Breakdown of What Happened, Who Is Affected, and What Comes Next

Mar 24, 2026 By Kevin McGahey In DreamFactory
In March 2026, security researcher isfinne discovered that LiteLLM version 1.82.8—the most popular open-source LLM proxy in the Python ecosystem, with approximately 97 million monthly downloads—contained credential-stealing malware published to PyPI. Within hours, version 1.82.7 was confirmed to carry a similar payload through a different injection method.
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I Let AI Audit My LinkedIn Strategy (Here's what happened)

Mar 24, 2026 By Databox: Modern BI Software In Databox
If you’re consistently posting on LinkedIn, the hard part isn’t getting data — it’s analyzing it. Most people review posts one by one, compare impressions manually, and try to “spot patterns” by eye. That’s slow. And it makes strategy reactive. In this walkthrough, Kamil Rextin, founder of 42 Agency, uses the Databox MCP with Claude to run a fast, AI-driven analysis of his LinkedIn performance — the kind of first-pass review you’d normally assign to a junior analyst.
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speedscale

FastAPI Testing: Mock LLM APIs for Free

Mar 23, 2026 By Ken Ahrens In Speedscale
Testing a FastAPI app that calls OpenAI, Anthropic, or Gemini gets expensive fast. The problem is not just the API bill in production. It is all the repeated traffic in development: prompt tweaks, CI runs, regression checks, and the load tests you keep putting off because every run burns tokens. Hand-written mocks do not help much once the app is doing multi-step LLM work.
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katalon

AI in Software Testing: The Triple Threat to QA in 2026

Mar 23, 2026 By Huyen Nguyen In Katalon
It is Monday morning. Your VP of Engineering just forwarded a company-wide memo: every team needs to demonstrate AI adoption by end of quarter. At the same time, you learned last week that your QA budget was trimmed by 15%, because leadership assumes AI will "make testing more efficient." And your developers? Thanks to Copilot, Cursor, and Claude Code, they are now shipping 76% more code per person than they were two years ago.
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How leading AI companies really build: lessons from 40+ engineering leaders

Mar 23, 2026 By Ably Realtime In Ably
What does it actually take to ship Gen 2 AI experiences to real users at scale? Matthew O'Riordan, CEO of Ably, shares insights from conversations with 40+ engineering leaders — including at unicorns and public corporations — on where AI delivery breaks and what production teams are doing about it. Topics covered: Timestamps.
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