Running SDD Workflows with Local Copilot
How Copilot CLI hosts OpenSpec and Spec Kit flows on local hardware: propose, apply, archive. Why bounded inference cost makes specification-driven iteration practical.
21 posts
How Copilot CLI hosts OpenSpec and Spec Kit flows on local hardware: propose, apply, archive. Why bounded inference cost makes specification-driven iteration practical.
How custom instructions, AGENTS.md, and skills give your local Copilot the context it needs to stop making stupid mistakes.
How MCP servers turn a local LLM into a real agent: test runners, linters, semantic search, and why tool access compensates for weaker reasoning.
The complete setup guide: vLLM and llama.cpp configs, environment variables, the dual-mode trick, debugging /v1/models, every failure mode, and why owning the runtime changes the equation.
Running out of tokens? Will you be part of this new form of slavery or will join the local ai rebellion? Your AI. Your rules.
Practical guide to GitHub Copilot Premium Request Units (PRUs): what features consume them, what doesn't, and how to optimize usage when using Copilot autocomplete, chat, CLI, agents, and code reviews.
Aspire migration experiment: reorganize infra, containers and pipelines to modernize Sentra.
Cómo diseñar y orquestar workflows para agentes usando Microsoft Agent Framework y Docker Model Runner (MAF + DMR).
Configure MAF with DevUI and Docker MCP Gateway + DMR: integration pattern, workaround for streaming and examples in Python.
Cómo usar el Model Context Protocol (MCP) con Microsoft Agent Framework: conectar herramientas locales, DMR y crear agentes que actúen con seguridad.
Laboratorio práctico con MAF: implementar el ciclo SPAR (Sense, Plan, Act, Reflect) usando Docker Model Runner y MCP para reasoning local.
Guide to increase Docker Model Runner context window (max_tokens) to support long multi-tool reasoning sessions.
Build a local chat agent with Microsoft Agent Framework, EF Core and Docker Model Runner for persistent, offline multi‑turn conversations.
Practical guide to running Microsoft Agent Framework locally with Docker Model Runner: examples in .NET and Python, offline and without keys.
How to add persistent memory to Docker cagent agents: design, SQLite, and practical examples for local wizards.
Introducción a Docker cagent: agentes AI en YAML, ejecución local con DMR y por qué declarative agents facilitan reproducibilidad y experimentación.
Cómo instalar Docker Desktop y mover sus datos a otra unidad (p.ej. D:) en Windows: comandos, opciones y pasos para evitar llenar C:.
Mapa práctico del ecosistema IA: modelos, ML, Deep Learning, RAG y agentes; para entender qué herramientas y enfoques elegir por caso de uso.
Principios claros de branching, versionado y CI/CD para estabilizar lanzamientos y automatizar pipelines en equipos modernos.
Automatiza la subida de imágenes a Azure Blob Storage con MAVIS y evita problemas de caché en WordPress.
Consejos prácticos para planificar y ejecutar migraciones a Azure: estrategias, errores comunes y checklist operativo.