Systems | Development | Analytics | API | Testing

The Push and Pull between Validation and Creativity

In this episode, Petr Nohejl of Warhorse Studios joins us to explore one of game development’s most constant tensions: creativity versus validation. From technical constraints like file naming limits and tooling rules to the challenge of keeping large teams productive, Petr shares real-world examples of why validation systems exist—and why they can feel frustrating to developers pushing creative boundaries. Together, we unpack how this “push and pull” ultimately leads to better-performing pipelines, more scalable production, and stronger games.

Build vs Buy Real Estate Software: How to Make the Right Call

Choosing between building and buying real estate software isn’t just a technical decision—it shapes how fast you move, how much control you keep, and how far your product can scale. Whether you’re launching a PropTech startup or modernizing an existing real estate platform, the wrong choice can lock you into costly limitations, while the right one can become a competitive advantage.

How to Optimize iOS Push Notifications in Production

Push notifications are one of the most powerful retention tools in mobile. iOS opt-in rates average 40–45%, and apps that use push effectively can triple their long-term retention. However poorly timed, poorly crafted alerts can drain our open rates, leading to opt-outs and disengagement. When designing iOS push notifications, we need to think about engagement and retention, not just impressions.

What is an MCP Registry? The Centralized Directory for AI Agents

A guide to learning how MCP registries help govern AI agent-to-tool connectivity AI agents are only as capable as the tools they can reach. When an agent needs to query a database, file a support ticket, or pull data from a CRM, it has to find the right tool, authenticate, and invoke it — all at runtime. The Model Context Protocol (MCP) standardizes how agents communicate with these tools. But MCP alone does not answer a fundamental question: how does the agent know which tools exist?

We built a Custom Transport for Vercel's AI SDK

Ably is a realtime messaging platform, it's a pub/sub product where you can publish messages to channels and clients subscribed to those channels will receive those messages in realtime. It turns out that the Ably realtime platform is really well suited to being the transport that sits between your AI models and the clients receiving the generated responses.

Custom Fleet Management Software Development | 2026 Market & Opportunity

Roughly 35 million commercial vehicles are operating across the world's top logistics markets today. Every one of them is burning fuel, accumulating wear, and navigating roads that are more congested, more regulated, and more expensive to operate on than ever before. The numbers behind inefficiency are staggering. According to the Department of Energy and the Argonne National Laboratory, 6 billion gallons of gasoline are wasted by idling alone every single year.

PostgreSQL MCP Server: Setup, Security & Best Practices for AI Agents

Last updated: May 2026 A PostgreSQL MCP server is a service that exposes PostgreSQL databases as tools an AI agent can call through the Model Context Protocol (MCP). Rather than giving an LLM direct database credentials, you put an MCP server between the agent and the database. The agent discovers what queries it can run, calls them as named tools, and the MCP server translates those calls into safe, governed SQL against PostgreSQL.

What Is Agile ALM (Application Lifecycle Management)?

Agile ALM manages the entire application lifecycle, including requirements, development, testing, and release, using Agile principles while maintaining end‑to‑end visibility and traceability. It supports iterative delivery, continuous feedback, and changing requirements to ensure that every decision and change is connected, auditable, and aligned with business and regulatory needs. The benefits of Agile ALM include.

Best React Frameworks in 2026: Data from 127 Job Posts

Opinions about the "best" React framework are like linting configs: everyone has one, and everyone thinks theirs is correct. So instead of adding to the noise, we did something slightly more useful - we scraped 127 React developer job postings from Google Jobs (the max available in the past month) and pulled out every framework and library mentioned in the descriptions. No vibes. Just data. Here's what the job market actually wants from React developers in 2026.

How to set up Billing for AI Agents with LangChain and Kong in 15 Minutes | Monetize AI Agents

Want to bill customers for the AI tokens they actually use? This video shows you how to set up a LangChain app that meters LLM token usage and streams it to Kong Konnect Metering & Billing as CloudEvents — turning every prompt and response into invoiced usage, automatically.