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Rovo AI: Create Work Items from Loom | Demo Den | Atlassian

Nov 3, 2025 By Atlassian In Atlassian
Ever wish you could turn a quick Loom recording into Jira work items without all the manual typing? Now you can! In this Demo Den episode, Pierre walks through a new Rovo AI feature that automatically converts your Loom videos into actionable Jira work items. Whether you're recording bug reports, feature requests, or project updates, Rovo handles the data entry for you. What Pierre covers: Turning Loom videos into work items with Rovo How it works in your AI-enabled Jira instance.
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Why AI Coding Assistants Fail (And How to Fix Them)

Nov 3, 2025 By GitKraken In GitKraken
Why do developers stop using AI coding assistants? According to Carnegie Mellon research, the top reason is unhelpful suggestions. Tabnine's Principal Architect John Feeney explains how context transforms AI coding tools from generic to genuinely useful. Learn the 4 Cs framework for maximizing AI assistant value: Context (workspace indexing), Connection (repo integration), Coaching (rules-based guidance), and Customization (fine-tuning). Discover how Retrieval Augmented Generation (RAG) helps AI understand your codebase, not just open source patterns.
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redgate

Building dbRosetta Using AI: Part 1 of Many

Nov 3, 2025 By Grant Fritchey In Redgate
Like many of you, over the last couple of years, I’ve been using AI, or, well, let’s just name it appropriately, Large Language Models (LLM), as a part of my job. I’ve also used it in my hobby. With it, I’ve generated snippets of code, tested data conversions, even built a small database for a presentation. However, to date, I haven’t tried doing everything through the LLM. Now, I’m going to.
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harness

Intent-Driven Assertions are Redefining How We Test Software

Nov 3, 2025 By Shibam Dhar In Harness
Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.
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pulsant

Enterprise data centre security solutions: scaling securely for growth and resilience

Nov 1, 2025 By Pulsant In Pulsant
Securing a data centre requires multiple layers of protection. Physical access controls, surveillance, and network safeguards reinforce one another to prevent disruption. As estates expand and workloads increase, those measures have to scale. If they don’t, gaps appear in both resilience and compliance. A data centre security solution must therefore protect infrastructure day to day while adapting to future requirements. Pulsant delivers this through an integrated framework.
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bunnyshell

The Product Manager's Nightmare: Seeing Features Too Late

Oct 31, 2025 By Alin Dobra In Bunnyshell
Sarah stared at her laptop screen in disbelief. The feature her team had been building for three weeks was finally deployed to staging, and it looked nothing like what she had envisioned. The user interface was cramped, the workflow felt clunky, and the color scheme clashed with their brand guidelines. "Can we change the button placement?" she asked during the demo. "That'll require refactoring the entire component structure," replied the lead developer. "It's probably a two-day task now." What should have been a simple adjustment had become a major undertaking.
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speedscale

Part 2: Building a Production-Grade Traffic Capture, Transform and Replay System

Oct 31, 2025 By Matthew LeRay In Speedscale
When developers try to build realistic mocks and automated tests from production network traffic, the real challenge isn’t just in the capturing—it’s in the data manipulation. Raw traffic is a chaotic sea of patterns, dynamic tokens, environment-specific secrets, and tangled dependencies that seem impossible to untangle by hand. Over my two decades of building these sytems, I learned that solving this problem requires more than brute-force parsing or ad hoc scripts.
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harness

Streamline feature management with Harness MCP and Claude Code

Oct 31, 2025 By Austin Lai In Harness
Harness now supports the Model Context Protocol (MCP) for Feature Management and Experimentation (FME), enabling developers to interact with feature flags directly from AI-powered IDEs like Claude Code and Windsurf. The FME MCP tools make it easier to explore, understand, and manage feature flags through natural language, streamlining delivery and release workflows without leaving your development environment.
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harness

Validating chaos experiments with GCP Cloud Monitoring probes

Oct 31, 2025 By Ashutosh Bhadauriya In Harness
GCP Cloud Monitoring probe let you transform your existing GCP metrics into automated pass/fail validation for chaos experiments, eliminating subjective observation in favor of objective measurement. With flexible authentication options (workload identity or service account keys) and PromQL query support, you can validate infrastructure performance against defined thresholds during controlled failure scenarios.
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env0

The Right Way to Deliver Infrastructure: Every Deploy Comes with Guardrails

Oct 31, 2025 By Jimmy Herbert In env0
In fast-moving organizations, developers are expected to ship quickly. Infrastructure shouldn’t be a blocker, but it can’t become a liability either. One unchecked terraform apply, a missing tag, or a misconfigured instance can turn into a surprise bill, a failed audit, or even a production outage. The most reliable way to manage infrastructure at speed is to make governance part of the delivery process.
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