Operations | Monitoring | ITSM | DevOps | Cloud

3 Best Companies for Custom Warehouse Software Development

Custom warehouse software exists because off-the-shelf doesn't always cut it. Businesses use it for inventory management, daily operations coordination, and better order fulfillment. Standard warehouse management systems (WMS) cover common processes - but specialized workflows, multiple facilities, complex integrations? Companies dealing with those often need a solution built specifically for them.

6 Best Hosts for Running a Node.js App & Your Website on One Plan

Your WordPress site is already live, and you've built a small Node app that runs fine with npm start on your laptop. Maybe it's an Express API behind a booking form, or a little dashboard. Now it needs a home, and you'd rather not pay a second bill, keep a second login and track a second renewal date just for it. You can run both on one plan. Hostinger's Unlimited plan and Hosting.com's entry plan run both halves with no server work on your side, and DigitalOcean's $4 Droplet is the cheapest fixed price if you're willing to run the server yourself.

The Feature Flag Became the Kill Switch for AI Features

Traditional code fails loudly. A null pointer throws, a query times out, a 500 lands in the logs, and the on-call engineer has a stack trace to chase. AI code fails on a different axis. The response is syntactically fine, the latency looks normal, the error rate is flat, and the output is wrong in a way only a human reading it would catch.

Understanding Agentic Development Environments

AI coding agents are rewriting the rules of software development, but running multiple agents across a real codebase creates a coordination challenge that traditional editors and terminals weren’t built to solve. That’s where agentic development environments come in. An agentic development environment (ADE) gives you a dedicated surface for launching, orchestrating, and reviewing the work of several AI coding agents at once.

Free Space APIs: Useful Data for Building Smarter Applications

Space data is no longer limited to government agencies, research institutions, and specialist aerospace companies. Developers can now use APIs to bring satellite imagery, orbital information, astronomy data and other space-related datasets directly into their applications. Free space APIs are particularly useful when testing an idea or building a prototype without committing to expensive infrastructure from the outset. The right option, however, depends heavily on the type of data you actually need.

Day 2 Operations for AI-Generated Code: What Changes When You Didn't Write It

We have all watched AI speed up the way we write software. With tools like Copilot and ChatGPT, developers can spin up boilerplate, write complex functions, or draft entire micro services in minutes instead of days. It feels like magic. But there is a silent catch that we do not talk about enough: writing the code is only Day 1. The real challenge is Day 2 operations, which is everything that happens after that code is deployed.

React Native Is Not the Risk in Healthcare App Development. Poor Architecture Is.

Healthcare technology leaders keep hearing the same warning: React Native adds risk to clinical, patient, and operational apps. That view misses the real issue. Risk does not come from the framework. It comes from weak architecture, loose integration design, unclear data ownership, and release models that treat healthcare like retail.

How Canvas Powers the AI Agent Development Feedback Loop

For teams building AI agents, the feedback loop should already be a familiar idea: watch how the agent behaves, find what needs improvement, ship a change, and measure the result. In theory, each turn builds on the last until the loop becomes a flywheel and your agent is getting more effective with each turn. In practice, many of us are still in reaction mode. A user reports something strange, costs spike, or an eval score drops.

The Missing Step in Mobile Release Operations: Store Screenshot Management

Mobile release teams are used to managing code, builds, test results, signing credentials and deployment approvals. Store screenshots often sit outside that system. They are treated as a final design request, passed between product, marketing and engineering in a collection of chat messages and shared folders.

We Let AI Agents Rewrite a 92M-Message-a-Day Service in Go. Zero Incidents.

Our Results Daemon processes about 92 million messages a day. We recently rewrote it from Node.js to Go, and we let Claude Code write it. We wanted to know whether we could trust an agentic rewrite for a critical, high-throughput production service rather than a prototype. It shipped with zero incidents, a 70% reduction in running pods, and a lighter database load.