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Who's on call? How Claude helped us calculate this 2,500x faster

Schedules are a core part of any on-call system. In ours, they define who to page and when. But people use them in lots of other ways too: checking their next shift, asking for cover while at the gym, keeping a Slack user group up to date, or updating a Linear triage responsibility. For many of our customers, they’re one of the main ways they interact with our product, and as they’re such a foundational part of On-call, it’s very important they work well.

When Offshore Software Development Makes Sense (and When It Doesn't)

Offshore development isn't a universal solution, and treating it like one is how companies end up with cautionary tales instead of successful products. The decision to go offshore should be strategic - based on your specific circumstances rather than the generic promise of "same quality at lower cost" that every vendor website offers. This article provides an honest framework for deciding whether offshore development fits your situation - and equally important, when it doesn't.

Automated Medical Receptionist: Benefits, Use Cases, and How to Choose the Right Solution in 2026

Healthcare organizations in 2026 are facing a growing imbalance between patient demand and administrative capacity. Clinics, private practices, and medical groups are receiving more calls, more appointment requests, and more follow-up inquiries than ever before. At the same time, front desk teams are expected to maintain accuracy, speed, and a high level of patient experience. This pressure has made administrative inefficiencies more visible and more costly, especially when missed calls or delayed responses lead to lost appointments or dissatisfied patients.

How Emerging Tech Brands Are Redefining Visibility in a Saturated Market

Why do some tech brands seem to appear everywhere while others remain invisible? The answer rarely comes down to product quality alone. The modern market is crowded with innovation, yet attention remains limited. Every new platform, tool, or service competes for a shrinking share of public focus. This imbalance has forced emerging companies to rethink how visibility actually works.

Smartening Up Your Instagram Settings for Better Engagement

Instagram has become so much more than just a photo-sharing app. It's one of the most powerful social media beasts out there for brands, creators and businesses to get their foot in the door. But let's face it, just chucking up some content isn't going to cut it anymore. The average account has got to have settings that are finely tuned if they want to see some real results.

That's Not a Job for an LLM: The Right Way to Apply AI to Network Operations

LLMs have sucked all the oxygen out of the AI conversation — but AI is much more than just LLMs, and network engineers have been using AI techniques (machine learning, statistics, fuzzy logic, expert systems, neural networks) for decades. So what should LLMs be doing in network operations, what shouldn't they be doing, and how do agentic AI architectures fit in?

90% AI Adoption. Still Failing. DORA Explains Why.

AI adoption is nearly universal. So why are most teams still struggling? In this session from GitKon, Nathen Harvey, head of DORA at Google Cloud, shares findings from the 2025 DORA State of AI-Assisted Software Development report, drawing on data from nearly 5,000 developers worldwide. The answer isn't more AI. It's what surrounds it.