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coralogix

Your Team is Using Claude Code. Do You Know What It's Costing You?

Apr 30, 2026 By Lily Waldorf In Coralogix
The first two weeks of Claude Code are exciting. The third week is when you realize you don’t have visibility into what it’s doing or what it’s costing you. You would not run a production service without metrics, logs, and dashboards or deploy an API without knowing its latency, error rate, or cost per request.
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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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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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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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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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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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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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UnoSearch on B2B AI Search Visibility Decline in 2026

UnoSearch on B2B AI Search Visibility Decline in 2026

Apr 30, 2026 By OpsMatters In OpsMatters
B2B tech brands are quietly losing AI search visibility in ways their dashboards do not capture. The pipeline feels thinner. Sales teams are hearing competitor names they did not hear six months ago. Demo requests are flat or down. None of these symptoms maps cleanly onto a traditional pipeline problem, because what changed is not inside the channels marketing teams have been measuring. AI agents now mediate a growing share of B2B research and shortlisting behaviour, and most enterprise marketing programs have not adjusted their foundation for this shift.
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