
Self-Healing Observability: Building an AI-Powered K8s Log Watcher
How to combine Vector, Redis, and local LLMs to transform cryptic Kubernetes error logs into actionable Telegram alerts.
Read →An in-depth look into the architectural evolution of Beto-Bot: transitioning from fragile Personal Access Tokens to secure GitHub App installation bindings, introducing a live pgvector RAG sync engine powered by GitHub Webhooks, and using Local Ollama models as our brains.


How to combine Vector, Redis, and local LLMs to transform cryptic Kubernetes error logs into actionable Telegram alerts.
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A deep dive into the specialized agents that power Beto-Bot and how they handle everything from issue tracking to automated status updates.
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A deep dive into the Orchestrator: How Beto-Bot uses Java 21 Virtual Threads to manage specialized AI agents without blocking.
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Why empathy not only matters, it's a superpower in software engineering.
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Exploring the 'Fetcher' service and how I bypassed MCP limitations using custom GraphQL queries to manage GitHub ProjectsV2.
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How to connect a Spring Boot application to a Node.js MCP server using a Supergateway proxy.
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An introduction to Beto-Bot, a custom orchestrator designed to bridge the gap between Java environments and autonomous AI agents.
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Exploring the new roles as software engineers in the age of AI.
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