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GitKraken Desktop 12.4 Release: Multiple WIPs, Approve/Deny Agents, and more!

What if you could counterspell an agent action? GitKraken Desktop 12.4 pulls the whole AI agent workflow into one place, so you stay in the flow. Back in 12.0 we shipped Agent Sessions, where you kick off AI coding agents right inside the context of your repo. GitKraken 12.4 builds on that. What's new in 12.4: This release is not about handing more of your work to agents. It's about seeing everything they do, and deciding what actually changes.

AI Red Team Agents Automate Attacks on your AI Agents. Runtime Policies Automate their Defense.

The AI red teaming market grew up fast this year. OpenAI bought Promptfoo, Cisco and Microsoft shipped automated attack suites, and a seed-stage startup publicly compromised 50 of 55 live customer service bots. These platforms find real problems at a scale no human team can match. But when you read the findings closely, a pattern emerges: agents talked into refunds, transfers, and data leaks they had standing authority to perform. Patching the prompt fixes one phrasing until the next model update.

What Is S3- compatible Backup Storage?

A backup is only useful if the data is still there when something goes wrong — and if it can be restored quickly enough to matter. As backup volumes grow, teams need more capacity without losing control of recovery performance or cost. S3-compatible backup storage gives teams another way to handle that pressure. It uses the familiar Amazon Simple Storage Service (Amazon S3) API model without requiring backup data to live in Amazon S3 itself.

Migrate your app to Upsun Cloud without a rewrite

Application migrations stall for a predictable reason: the demanding part is rarely the application code itself. It is the infrastructure around it: the deployment logic, pipeline, and environment configuration that has to be rebuilt. That surrounding work is what turns a migration into a multi-month project, and it is why teams stay on infrastructure that no longer serves them. Upsun Cloud reduces migration to a much smaller task.

Getting started with ConnectWise PSA dashboards

If you run your service desk on ConnectWise PSA, it's already the system of record for almost everything that matters. Tickets, agreements, configurations, projects, time entries, it's all in there. What it doesn't give you is an easy way to put that data next to the rest of your stack, your RMM, your security tooling, your backup platform, so you can look at a client and see the whole picture rather than one system at a time.

Open Source Is Good Marketing

Summary: Jean-Jérôme Schmidt-Soisson, marketing lead at VictoriaMetrics, shows that open source and marketing are not opposites. Open source itself can be a powerful growth engine through trust, community, content, documentation, and discoverability. The article explains VictoriaMetrics’ pull-based marketing strategy, anchored in open-source values, to support adoption and business growth. This is our second article on the relationship between open source and marketing.

The Difference Between Keeping Up and Catching Up

It is common to find two organizations running the same platform, staffed by people of similar skill, operating under comparable budgets, and arriving at completely different relationships with the technology they depend on. For enterprise IT teams, this often shows up in how they manage platform releases, integrations, upgrades, and ongoing maintenance.

Built to amplify: how Lumen is rethinking teams and technology in the AI era by Greg Freeman | AIFNL

Last year, Lumen shared its AIOps roadmap. This year: two updates. First, how Lumen's thinking on AI-era org design has shifted — including why the instinct to cut junior headcount is a trap, and what sustainable team structures look like instead. Second, what Lumen built as a result: a single AI core (AskGreg) extended into a customer-facing email agent (NORA), a chatbot, and an in-progress voice agent — all leveraging the same modular platform. Live video demos show the system diagnosing network problems from alarm data and driving real-time network decisions. The closing thesis ties it together.

Making AI (net)work: tips for a successful AI-integrated network by Jason Gintert | AIFNL

AI in network operations has moved past the demo. In some shops it's already cutting detection time and clearing the alert noise that used to bury the engineering team. In others, a promising rollout has quietly stalled the moment it met production. That difference between the two rarely comes down to the model, it comes down to how the AI gets integrated into the network and most importantly, the team around it.