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Engineering research desk

Stellary Engineering Desk

The Stellary Engineering Desk publishes technical explainers for developers working with MCP, API integrations, AI agents, model selection, and workflow automation. Its content is grounded in implementation details, runtime behavior, and engineering constraints.

About this desk

Covers MCP, API design, coding models, agents, automation primitives, and the technical constraints behind AI-native delivery stacks.

Expertise

MCPREST APIsAI agentsModel evaluation

Articles

10

published or maintained articles

Articles

These articles are currently owned or maintained by this editorial desk.

Read the docsMethodology
Project Management with AI Agents in 2026
guideagentsproject-management

Project Management with AI Agents in 2026

What changes when AI agents move from writing updates to real project execution? A practical guide to project management with AI agents in 2026.

Apr 11, 20264 min read
GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro vs Composer 2
comparisonai

GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro vs Composer 2

What is the best premium choice for coding in 2026? A practical comparison of GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, and Composer 2, with real strengths and trade-offs.

Apr 8, 20264 min read
What is the best AI model for backend development in 2026?
guideai

What is the best AI model for backend development in 2026?

If you mostly do backend work, premium AI models are not equal. Here is how to choose between GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, and Composer 2 depending on the work.

Apr 7, 20264 min read
What is the best AI model for code review, audits, and security in 2026?
guideai

What is the best AI model for code review, audits, and security in 2026?

Not every strong coding model is equally strong for code review, audits, and security work. Here is how I would choose in 2026.

Apr 6, 20264 min read
What MCP changes for AI coding tools in 2026
guidemcpai

What MCP changes for AI coding tools in 2026

MCP changes how AI tools access context, actions, and workflows. Here is what it really changes, what it does not change, and how to evaluate tools in 2026.

Apr 5, 20264 min read
How to Connect AI Agents to Stellary via MCP
guidemcpai

How to Connect AI Agents to Stellary via MCP

A practical guide to integrating AI agents with your Stellary workspace using the Model Context Protocol.

Mar 28, 20263 min read
Save Hours Every Week with Stellary Automations
guideautomationsproduct

Save Hours Every Week with Stellary Automations

Learn how to set up powerful automations that handle repetitive work so your team can focus on what matters.

Mar 15, 20263 min read
MCP Explained: Why It Matters for AI Tools
mcpaiguide

MCP Explained: Why It Matters for AI Tools

A clear explanation of what MCP is, how it works, and why it's becoming the standard for connecting AI agents to external tools and data sources.

Mar 5, 20265 min read
API-First Project Management: Why You Need an API
productguidemcp

API-First Project Management: Why You Need an API

Why API-first PM tools outperform closed ecosystems. How REST APIs, MCP, and programmable workflows enable modern project operations.

Feb 5, 20264 min read
Why Context Is Everything for AI Project Assistants
aimcpproduct

Why Context Is Everything for AI Project Assistants

An AI without project context is just a chatbot. Learn why deep context access transforms AI from a novelty into a genuine project management superpower.

Jan 20, 20264 min read