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Detect, Communicate, Resolve: Checkly's Agentic Workflow End-to-End

Apr 30, 2026 By Checkly In Checkly
Coding agents are the fastest-growing audience for the Checkly CLI, and we're doubling down on them. In this session, Stefan hands Claude a real e-commerce app, lets it set up monitoring with `npx checkly init`, generate Playwright tests through MCP, and walk an actual alert end-to-end with Rocky AI in the loop.
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pagerduty

How to use an SRE agent to reduce downtime

Apr 30, 2026 By Sam Chun In PagerDuty
An alert in the middle of the night warns of a potential business failure. Manual incident response becomes more complex due to the overwhelming data from distributed and dynamic digital services. With an SRE agent, your engineering team can cut through alert clutter. They can sort through various signals quicker, decreasing burnout and achieving faster, more affordable resolutions. Operational resilience will see its next evolution with Agentic AI.
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qovery

7 best AI deployment platforms for production Kubernetes workloads in 2026

Apr 30, 2026 By Mélanie Dallé In Qovery
Training a model in a notebook is easy. What breaks teams is the step after, serving it reliably without haemorrhaging cloud budget or burying your SREs in YAML. The common trap: picking a platform that handles the model but not the surrounding stack. An AI deployment platform should orchestrate the full application graph (inference endpoints, vector databases, caching layers, and frontends) inside a single VPC, with GPU autoscaling that doesn't require a dedicated platform engineer to babysit.
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harness

From PR to Production Without Leaving Your Cursor IDE | Harness Blog

Apr 30, 2026 By Jyoti Bansal In Harness
TLDR: Today, Harness is introducing the Harness Cursor Plugin, bringing the power of the Harness AI-native software delivery platform directly into Cursor. This integration, along with the Harness Secure AI Coding hook for Cursor, allows developers and AI agents to move from code changes to vulnerability detection, CI/CD execution, security validation, approvals, deployments, and operational insight without leaving the editor. AI has completely changed how we write code.
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harness

AI writes the code. Who delivers it safely? | Harness Blog

Apr 30, 2026 By Jyoti Bansal In Harness
The question for enterprise AI in 2026 is no longer just which model. It’s which harness. An agent harness is the system around the model. It decides what the agent remembers, what context it sees, what tools it can call, what it is allowed to do, and what happens when it is wrong. The model provides intelligence. The harness provides control. This is where the real engineering is happening.
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observiq

Moving On From MCP: How We Built the Bindplane AI Skill

Apr 30, 2026 By Brian Gardner In ObservIQ
If you've spent any time wiring AI coding agents into developer platforms over the last year, you've probably reached for MCP. We did too. And after enough sessions watching context windows balloon and tool calls misfire, we started looking for something different. This is the story of what we built instead — a native AI skill for the Bindplane CLI — and the engineering decisions behind it.
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observiq

Bindplane Now Ships With a Native AI Skill - Bring Your Own Agent

Apr 30, 2026 By Brian Gardner In ObservIQ
Today we're rolling out the Bindplane AI Skill, a built-in capability of the Bindplane CLI (v1.98+) that teaches your favorite AI coding tool how to work with Bindplane — natively, accurately, and without the setup headaches of traditional integrations. Read Part 2 of the Bindplane AI Skill series to learn more about how we built it and how it works with real-life examples.
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Why Australian Brands Are Upgrading Their Search Strategies With Machine Learning

Why Australian Brands Are Upgrading Their Search Strategies With Machine Learning

Apr 30, 2026 By OpsMatters In OpsMatters
The digital landscape in Australia is evolving at an unprecedented, rapid pace. For years, local businesses and enterprise brands alike relied on traditional search engine optimisation techniques to capture organic traffic, generate leads, and build online visibility. However, as search algorithms become increasingly sophisticated, these standard, manual practices are no longer sufficient to secure a lasting competitive edge in crowded markets. Today, machine learning is fundamentally rewriting the rules of digital marketing and shifting how websites are ranked.
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