Operations | Monitoring | ITSM | DevOps | Cloud

The 5 levels of the AI software factory for enterprises | EVOLVE 2026 keynote

Oct 7, 2026 By Cortex | Engineering Operations Platform In Cortex
Everyone online seems to have a fully autonomous SDLC. Most enterprises are still at level 3, and they'll be there for years. In the EVOLVE 2026 opening keynote, Cortex co-founders Anish Dhar (CEO) and Ganesh Datta (CTO) lay out a practical maturity model for getting from AI coding agents to an AI software factory without blowing up cost, quality, or security along the way. They've watched hundreds of engineering orgs adopt AI over the last two years. This talk distills what separated the successful rollouts from the chaotic ones.
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meshiq

Governing AI Agents From the Inside: What We Learned Building AgentIQ

Oct 7, 2026 By Harshita Kulshrestha In meshIQ
When every employee is building AI agents, seeing what they did afterward isn't enough. AgentIQ's in-flow governance runs inside the agent's execution flow—pausing for human approval, enforcing policies by value, masking PII, and stopping runaway agents before costs spiral.
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Seer Agent: Get Answers. Take Action.

Oct 7, 2026 By Sentry In Sentry
This video walks through what it looks like to treat Sentry's Seer agent the way you already treat a chatbot, asking it plain language questions about your own production application. From Slack or inside your Sentry account, Seer Agent can answer questions with real context: the affected spans, the recent release, the likely cause. Seer doesn't stop at answering questions. Ask it to act on what it just told you and it completes that work inside Sentry, serving as an assistant to your projects, team workflows, and your future self.
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devart

pgvector for RAG: When you don't need a dedicated vector database

Oct 6, 2026 By Rosemary Asufi In Devart
Dedicated vector databases have become such a standard part of the RAG conversation that teams often add one before they have proved they need it. According to studies, over 70% of companies using LLMs are using vector databases and RAG to customize their models. That shows how quickly the pattern has become normal. However, it does not mean every RAG application needs a separate retrieval system. If your application already runs on PostgreSQL, pgvector may be enough.
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Alibaba's AI Agent Went Rogue and Started Mining Crypto

Oct 6, 2026 By Harness In Harness
An Alibaba-affiliated AI agent went full crypto bro. During reinforcement learning, the agent autonomously started mining cryptocurrency, downloaded the tools it needed, and created a reverse SSH tunnel to get around network restrictions. What starts as a funny story about an AI vaping and mining crypto gets a lot more serious when you realize how sophisticated the behavior actually was.
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18: Building an Agentic Future: AI and Optimization with Sachin Gharge

Oct 6, 2026 By Kubex In Densify
On today's episode, Andrew Hillier chats with Sachin Gharge, Head of Cloud Platform at Scandinavian Airlines (SAS). They discuss AI, agents, Kubernetes, MCP, and optimization. Sachin shares how he and his team are optimizing cloud costs, leveraging automation, and experimenting with agentic AI, including bots and Slack integrations, to make operations easier and more effective for developers and the business.
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sentry

Unreal MCP now speaks Sentry

Oct 6, 2026 By Ivan Tustanivskyi In Sentry
Setting up crash reporting is rarely the most exciting part of shipping a game. Paste a DSN, flip a few checkboxes in Project Settings, turn on symbol upload, package a build, crash it on purpose and check that the event shows up in Sentry… It’s not hard to do (and important), but it’s the kind of work you’d happily hand off to someone else. With Unreal Engine 5.8, that someone else can be your coding agent.
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Aiven

PostgreSQL MCP: Manage Postgres From Your AI Assistant

Oct 6, 2026 By Tibs (Tony Ibbs) | In Aiven
TL;DR Most of the time we understand the tasks we're working on, but inevitably something comes up that we don't know much about, and we need just enough skill to cope. That used to mean reading paper documentation, then searching vendor sites and the web. Now it tends to mean a dialog with an LLM that has already ingested the documentation we don't have time to find and read. That's only half the problem, though.
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Komodor

Why We Built the Komodor Agentic Operations Platform: Q&A with CEO Ben Ofiri

Oct 6, 2026 By Ben Ofiri In Komodor
Komodor spent years building an AI SRE platform before the category had a name. With the launch of the Komodor Agentic Operations Platform, it’s opening that engine up so enterprises can build, run, govern and optimize their own agents in production. Following the launch, co-founder and CEO Ben Ofiri sat down to talk about why now is the right time for agentic operations, what breaks between prototype and production, and where operations will head next.
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env0

AI Agent Context Explained: What Agents Can't See in Your Infrastructure

Oct 6, 2026 By Zeen Rachidi In env0
The "C" word is a controversial subject in the US, but we have to talk about "context", and what it means to an AI Agent. For starters, agents can only act on what's in their context window. Everything outside of it is a guess. In application code that limit is usually an annoyance.
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