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AI That Knows Networking: Selector vs. Generic GPT Integrations

Aug 27, 2025 By Dallon Robinette In Selector

The hype around generative AI has led many IT teams to experiment with plugging generic GPT models into their workflows. On paper, this is the beginning of true AI networking, featuring conversational interfaces, instant summaries, and faster troubleshooting. However, as we discussed in the previous post, “Why Your IT Copilot Needs Context, Not Just Data,” copilots are only as effective as the intelligence behind them.

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Introducing AppJet.ai : a GitHub-native AI that codes full-stack from prompt to deploy

Aug 27, 2025 By Qoddi In Qoddi

If you ever tried any vibe-coding tool on the market you know they are mostly supercharged NodeJS code editor, full of pre-made components and often unable to really understand your existing code base. We created AppJet for a simple reason: AI is now at a maturity point where it can realistic to use it as a real coding companion.

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Full-Circle Observability: Using SigNoz to monitor a LangChain agent that queries SigNoz MCP

Aug 27, 2025 By Goutham Karthi In SigNoz

In Part 1 of this series, we explored how to instrument a LangChain trip planner agent with OpenTelemetry and send telemetry data to SigNoz. By tracing each step of the planning process: LLM reasoning, tool calls for flights, hotels, weather, and activities, and the final itinerary response, we saw how observability turns a black-box agent workflow into a transparent, debuggable system.

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LangChain Observability: How to Monitor LLM Apps with OpenTelemetry (With Demo App)

Aug 27, 2025 By Goutham Karthi In SigNoz

LangChain has become one of the most popular frameworks for building LLM-powered applications, making it easier to create agents that can reason, plan, and take actions. But like any production-grade AI app, LangChain agents can run into performance bottlenecks, hallucinations, or tool call failures. And without proper LangChain observability, it’s hard to know where things break down.

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Claude Pricing: A 2025 Guide To Anthropic AI Costs

Aug 26, 2025 By Rachel Whitener In CloudZero

When OpenAI surged into the spotlight with ChatGPT, not everyone inside the company agreed on the path forward. In 2021, a group of senior researchers broke away. They had concerns about safety, transparency, and the direction of AI development. They went on to found Anthropic. And their answer to ChatGPT was Claude. Anthropic’s mission is for openness now. Yet, Claude’s pricing can feel as mysterious as the model weights behind the scenes.

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We vibe coded a path tracer: Here's how we used static and dynamic analysis to fix it

Aug 26, 2025 By Bowen Chen In Datadog

When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.

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Imaginary Cities: Design Skylines That Could Never Exist with AI

Aug 26, 2025 By OpsMatters In OpsMatters

Now imagine a skyline that twists like liquid metal, a series of towers that spiral upward as if growing like vines rather than made of steel, and glowing bridges that wrap around moons rather than rivers. These are the cities that live at the edges of dreams, places that we will never visit, but ones we can picture with insistent clarity.

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How AI Is Reshaping DevOps & Software Delivery

Aug 25, 2025 By GitKraken In GitKraken

Join Nathen Harvey, DORA lead at Google Cloud, as he shares insights from the 10th Annual DORA Report. In this keynote, Nathen explores how AI is transforming software development teams and what leaders must do to adopt it responsibly.

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Design Concept: User-Created AI Agents with External Tool Support

Aug 25, 2025 By Mattermost In Mattermost

Here's an early look at user-created AI agents with external tool support in Mattermost — designed to integrate AI into daily workflows while maintaining governance and security. We’d love your feedback on this design. Contact the Fast Futures team at fastfutures@mattermost.com.

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Zia LLM for ServiceDesk Plus Cloud, transitions in workflows, and more!

Aug 25, 2025 By ManageEngine In ManageEngine

We’re rolling out some interesting AI innovations and workflow enhancements in the cloud version of ServiceDesk Plus. You can now use the native Zia LLM hosted in our own data centers as a GenAI provider (in addition to ChatGPT and AzureOpen AI), track AI adoption with the new Zia dashboard, and enable user transitions within workflows. Meanwhile, the on-premises version supports seamless user import from Microsoft Entra ID. Watch the video as our product experts walk you through each of these updates in detail.

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