Systems | Development | Analytics | API | Testing

Modernizing Legacy Healthcare Systems: Risks, Strategies, and a Phased Roadmap (2026)

Healthcare legacy software modernization transforms aging clinical and operational systems into scalable, interoperable, and maintainable platforms. It addresses technical debt without compromising patient care, data integrity, or critical healthcare workflows. Legacy healthcare systems often remain deeply embedded across EHRs, billing, scheduling, diagnostics, integrations, and administrative processes. Replacing them in one step can introduce significant operational and financial risk.

Test AI-Generated Code with Real Traffic#aiagents #devops #observability #shiftleft #softwaretesting

AI can generate code in seconds, but testing it against real production behavior is where developers get stuck. Learn how capturing and replaying actual production traffic in development helps you catch bugs before you deploy!

Sergey Tokarev's Tokarev Foundation and SET University Announce Generation H Winners

Ukrainian university SET University and Sergey Tokarev's Tokarev Foundation have announced the winners of the third season of the Generation H healthtech accelerator. At the final, held on 10 September in Kyiv, the main prizes went to two medical technology startups: AtriaPRM and Enhance Your Ability. The former uses AI to automate doctors' work with medical documentation, while the latter is a platform for children who do not use spoken language.

React Native OTA updates: best practices for shipping safely

Over-the-air (OTA) updates let you fix a bug in your React Native app and get it to users the very same day, without waiting for App Store or Google Play review. That speed is why teams adopt OTA. It’s also where things can go wrong: push a JavaScript bundle to the wrong app version and a small bug becomes a crash.

Why did my organic traffic drop? Find the cause with AI (Databox Semrush MCP)

Why did my organic traffic drop? Ask Genie, the Databox AI Analyst, with the Semrush MCP connector. Genie checks your Google Analytics traffic, then runs keyword, competitor, backlink and site audit research in Semrush, all in one answer. In this example, two causes explain almost the whole 14% drop: a competitor took two top keywords, and a canonical tag error went live with a site release. In this video.

Why did our pipeline drop? Find the cause in HubSpot deal notes (Databox HubSpot MCP)

Why did our pipeline drop? Ask Genie, the Databox AI Analyst, and it reads your HubSpot deal notes through the HubSpot MCP connector to find the cause. In this example, open pipeline is down 17.5% to $1.04M. Genie traces it to 2 deals lost on price after a Sept 1 rate change and 1 deal that lost its champion. In this video: Chapters Key terms Tools and data sources shown: HubSpot (CRM integration and HubSpot MCP connector), Google Analytics, Stripe, Slack. All data is a fictional demo account.

Are Traditional Methods and Tools for Safety and Security Sufficient for the AIDLC of the Future?

AI may make coding faster, but can your safety, security, and verification practices keep pace? In this webinar, Perforce Director of Product Steve Howard examines how the emerging AI Development Lifecycle (AIDLC) could reshape embedded software development and specifically V&V processes. You'll also learn where AI can help, where its limitations remain, and what organizations should consider as they prepare for AI-driven development.

From Gizmos to Zoos: Building Better Workflows for Game Developers with Robin-Yann Storm

How do you solve problems that nobody reports? In this episode, Robin-Yann Storm, tool design director and former developer at IO Interactive, Guerrilla Games, and Apple, shares how a small usability issue with a 3D transform gizmo led to a workflow improvement that developers still use years later, saving thousands of hours. The discussion looks beyond the solution itself to examine the process of discovering the problem, understanding its root cause, and exploring how to solve it. Robin-Yann explains why observing users is often more valuable than collecting feature requests and how small UX improvements can deliver outsized returns.

Error handling in Elixir

In a world where we glorify fast output and moving on to the next thing, we often find ourselves thinking in happy paths only. Let's be honest, though — errors happen. And when you start thinking about properly modelling and handling them when the project is already in full swing, you are too late. Good errors can help reveal what works and what doesn't work.