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6 Agentic Development Environments Compared (2026)

Your AI coding agents write functions, refactor modules, and generate tests in seconds. Running five of them across three repositories at the same time? That’s a coordination problem, not a code generation problem. Agentic development environments give you one surface to orchestrate multiple agents, review every diff, and get code merged without losing context.

Keynote: Cloud Networking for AI Architectures | Roy Chua | Megaport Connect 2026

AI is changing how networks are designed and operated. This session explores how GPU infrastructure, AI workloads, and automation are reshaping enterprise and cloud networking, and what these shifts mean for network architecture and the future role of network engineers. Recorded at Megaport Connect 2026. Chicago | Thursday 22 October ABOUT THE SPEAKER | Roy Chua, Founder and Principal, AvidThink.

Announcing SOC 1, FedRAMP 20x Class A, PCI, and HIPAA Milestones At Harness

Explore Harness' latest compliance milestones: SOC 1, FedRAMP 20x Class A, PCI DSS, and HIPAA assessments across its platform and runtime security. Harness announced four compliance milestones: its first SOC 1 audit, FedRAMP 20x Class A certification, and first PCI DSS and HIPAA Security Rule assessments. SOC 1 and FedRAMP 20x Class A apply to the Harness Autonomous SDLC Platform. PCI DSS and HIPAA apply to the Runtime Protection Agent.

AI cost per customer: measure it and protect your margins

AI cost per customer is each customer's attributed share of your AI spend: API tokens, inference infrastructure, and per-seat AI tools, measured against that customer's revenue. It matters because AI usage is wildly uneven across customers, so healthy blended margins can hide individual customers you serve at a loss. It's cost to serve, not acquisition cost. Cost per customer is the metric CloudZero was built around.

Five things you can do with Sentry's Agent Tracing

AI-powered apps are hard to debug without observability. From one run to another, AI produces different results, goes down different paths, and you’re none the wiser as to why it’s happening. Agent Tracing bridges the gap between prompt, tool calls and final output, all within the context of your app. If things break (it always does at some point, we know from experience), you get everything in one complete trace.

AI Signals Demo: See Exactly What Your AI Spend Is Buying | CloudZero

See who’s spending on AI, on which models, for what work, and what you got for it. Most companies can tell you what they spent on AI last month. Very few can tell you what it bought. In this demo, we show how AI Signals captures AI usage as it happens and ties every dollar to the person, team, and work behind it, across every model and provider.

39% of Coralogix sessions are now headless

We set out to understand how customers were using Coralogix from outside the web app. Olly answers questions about a system in plain language. Coding agents query logs, examine traces, read metrics and configure the platform through the Coralogix CLI and MCP server. We wanted to see how much of this was becoming part of everyday work. In the week of 20–26 October, 39% of Coralogix sessions included Olly, the CLI or MCP.

Measuring What Matters in AI Applications

AI has become incredibly sophisticated and changed the way we build and power applications. But it has also introduced volatile complexity that challenges how we ensure reliability and protect user experiences. Join our panel of experts as they discuss the realities of building AI-powered applications. They’ll talk about how testing has evolved, share insights into how they do evals and experiments, and offer advice on how to get better visibility into how your AI is performing.

Why AI-Generated code still needs tests

AI has made life easier for us developers. Dozens of AI tools are getting more advanced every day, shortening and speeding up the development cycle. Converting an idea into a concrete MVP is faster than ever before. Intelligent models turn your ideas into a working project with just a few prompts. End users or product owners can see the application, use the beta version, and give feedback on the spot.