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AI Norms & Values, Part 1 of 3: How We Do Business at Honeycomb

It's been almost exactly one year since we issued our AI mandate here at Honeycomb, and we've been doing some reflection. When we issued our mandate, it's not like we hadn't been using AI. We were the first in the industry to bake a feature powered by AI into our product, way back in May of 2024. Many of us had been experimenting and using these tools in our spare time. But we believe that software is the killer app for AI.

Building AI SRE Agents, Part 2: Leave the Laptop, Earn Trust

Moving the agent off your machine and pointing it at real clusters — read-only, in shadow mode — then climbing a trust ladder toward carefully scoped action. This is the second article in a three-part series on taking an AI SRE agent from a weekend experiment to enterprise production. Part 1 built a local agent on a throwaway cluster: read-only, propose-only, refined against a small eval set, with portable skills and no production write access.

Epic EMR Integration Explained: Benefits, Challenges, and Best Practices

Connecting a hospital's primary record system to modern software takes effort. A solid Epic EHR integration connects Epic directly with external clinical, operational, patient-facing, and digital health tools. Why bother? Unconnected software creates dangerous friction. When clinical platforms operate in isolation, patient care stalls. Teams seeking clarity on how to integrate epic with our application quickly realize that reliable interoperability ensures data access, supports coordinated workflows, and keeps operations running.

10 Best Customer Discovery Tools for SaaS Founders in 2026

The best customer discovery tools do not all collect the same kind of evidence. Reddit and community-monitoring tools reveal how people discuss problems without being prompted by a company. Interview platforms provide depth. Surveys provide structured feedback. User-testing tools show where people struggle. Product analytics reveal what users actually do. Research repositories help a team turn scattered evidence into decisions.

How Facilities Management Supports Business Continuity and IT Resilience

When organizations build business continuity plans, they usually focus on software backups and cyber threats, while ignoring the physical building itself. But a single power fluctuation, HVAC failure, or roof leak can shut down critical IT assets just as fast as a digital attack. Facilities management bridges the gap between physical infrastructure and digital uptime. This guide breaks down how proactive building systems protect your technology, minimize expensive operational disruptions, and turn theoretical recovery plans into daily operational defense.

6 Websites That Make Learning Outdoor Hobbies Easier

Starting an outdoor hobby can be exciting, but the learning curve isn't always obvious from the beginning. Whether you're interested in fishing, hiking, camping, gardening, birdwatching, or spending more time on the water, there are usually dozens of small things to learn before you feel confident. What equipment do you actually need? Which beginner mistakes should you avoid? How do weather and location affect the activity? And which skills are worth learning first?

Reliability Engineering in the AI Era

Engineering leaders have been claiming to “shift quality left” for years but production remains stubbornly stuck out of reach of software engineers. The realm of production remains mysterious with tools no one has access to and UIs that wouldn’t make sense to engineers anyway. I’ve noticed a small but growing trend of large enterprises hiring Reliability Engineers instead of Site Reliability Engineers. Dropping one word looks cosmetic but I think it points to a much bigger change.

From Telemetry to Traffic

A metric says latency increased. A log says a request failed. A trace identifies the slow dependency. An APM agent points to the method. Manual instrumentation explains the business operation. Traffic capture shows the exact request and response that triggered it. Each layer answers a question the previous layer could not. Each also introduces a new cost, blind spot, and failure mode.

Token budgets: capping AI agent and LLM spend

AI costs are changing. As noted by research from EY, outputs that cost just $0.04 in 2023 now cost $1.20, a 30x increase over just three years. It’s worth noting that task operations and complexity have also changed. In 2023, the process was simple. Users input a question, retrieval engines found relevant data, and AI models returned a response. Today, many tasks are handled by orchestrated AI agents capable of much more complex reasoning and analysis.

Multi-Agent Orchestration for SRE: AURA Runs a Model per Specialist

Give one agent every tool and every incident is a question of trust. This one hands each job to a worker that can only reach what that job needs. One AURA configuration defines a coordinator and three specialist workers. Qdrant stores the runbooks, Prometheus measures workload health, and Kubernetes provides inspection and remediation, and each of the three is wired to one worker.