Agents
Bringing your (k)nowledge to Antigravity
How we built a resilient and developer-centric integration between Nowledge Mem and Google Antigravity 2.0.
Agents
How we built a resilient and developer-centric integration between Nowledge Mem and Google Antigravity 2.0.
Postgres
When you first start with DBOS, the magic is in the simplicity: your database is the orchestrator. You don't need to manage a separate cluster or navigate complex RPC configurations—you just use Postgres. 🙋If you are here and are wondering what DBOS is, then maybe check out
Observability
Your app looks fine on the surface, but users say it's failing. Traditional logs can't explain why. Enter OpenLLMetry and OpenInference—tools that bring clarity to AI observability by capturing rich, standardized telemetry from your LLM stack.
Observability
LLM observability is key for reliable AI apps. Traditional monitoring misses semantic errors. This guide covers four essentials: tracing, evaluation, prompt management, and analytics to build robust generative AI solutions.
Artificial Intelligence
Agentic AI is transforming the field, enabling fast, efficient, and affordable automation far beyond chatbots through small, specialized models. These Small Language Models (SLMs) can outperform large models in real-world tasks, powering the next generation of enterprise and on-device AI.
OpenShift
Know Kubernetes? You're closer to mastering OpenShift than you think. It's the K8s you know, but with enterprise power-ups built-in. Learn the key differences—from its strict security model to traffic management—and use our cheat sheet to get your apps running on OpenShift today.
Model Context Protocol
TL;DR Programmer was lazy to manually upload text files to AI coding agents. Found an MCP server that helps, but was too lazy to keep updating the command arguments. Spent a couple of hours writing a daemon that reloads server with required changes on config or directory changes.
Model Context Protocol
⚠️This article was based on Agent Gateway version 0.5.2. Releases after this version have introduced a different configuration schema. You can see new example configuration on the project repository. Recently I have been looking at how to deploy multiple model context protocol (MCP) servers in a Kubernetes environment
Software Engineering
Backend development increasingly demands applications that are not only scalable but also inherently reliable. Durable execution platforms like DBOS and Temporal have emerged as viable options for production software, offering solutions for building and operating complex, distributed systems. This post provides a comparison to help software engineers, particularly those targeting