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MCP Won't Replace Your Monitoring Tool

MCP is generating a lot of hype nowadays (but then again, almost anything that emerges in AI seems to attract hype). The anticipation around it is similar to the level of excitement that would break out if Apple were to finally introduce USB-C to iPhones. To be fair, though, some of that hype is warranted, considering the fact that MCP provides a standardized approach to connecting agents with third-party tools, which significantly simplifies this type of integration (hence the USB-C analogy).

You Aren't As Behind As You Think

If you look at the people posting to social media the most about AI, you’ll probably feel left behind. They’re running dozens or hundreds of agents and probably shipping more than you. But, they are not representative of the rest of the dev world. They are the 1% of the 1%. The thing that might be missed is that you reading their posts is probably separating you from a much larger cohort of devs that are still trying to figure out how to use AI effectively in their day to day work.

Don't Break the Agent: Lessons in Token Optimization

This one is for the curious souls who wonder how somebody actually builds a harness optimizer — and, more to the point, how they know it works. When we launched JFrog Boost into public preview, we told the story of the bill that broke us and the 100 billion tokens we clawed back across JFrog R&D. What that post didn’t cover is the question that consumed most of our engineering time: how do you measure any of this?

MCP vs API: How they work together and when to use each

Summary: An API defines how software interacts with a service. MCP defines a standard way for AI applications to discover and invoke tools exposed by a service. They usually work together: an MCP server can sit in front of APIs you already run, turning low-level operations into capabilities an agent can find and use at runtime. Your API may already expose everything an AI agent needs. The harder problem is helping the agent figure out which operations matter for the task it has been given.

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?