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#AI Agents

Articles, tests and practical notes related to AI Agents.

How to Benchmark AI Coding Agents Fairly: A Reproducible Protocol

A practical benchmark methodology for comparing coding agents on the same feature, tests and environment—without claiming results that were not measured.

AiFolder Editorial Team·Oct 10, 2026·5 min read

AI Tools

MCP Gateway vs Direct MCP Servers: Which Scales Better for AI Agents?

Managed MCP gateways promise thousands of tools behind one governed endpoint. We break down the architecture and define a benchmark for latency, permissions, approvals and failure isolation.

AiFolder Editorial Team·Oct 2, 2026·9 min read

AI Tools

Strands Decider vs Jev: Can a 2B Model Route AI Agents?

Small decision models promise cheaper, faster agent routing than general LLMs. We compare the architecture and publish a reproducible benchmark plan for Strands Decider, Jev and an LLM baseline.

AiFolder Editorial Team·Oct 2, 2026·9 min read

AI Tools

Docker Cloud Sandboxes vs Local Containers for AI Coding Agents

Docker Cloud Sandboxes put autonomous coding agents inside isolated cloud environments. We examine the security model and define a reproducible local-container vs sandbox benchmark for long-running AI coding tasks.

AiFolder Editorial Team·Sep 26, 2026·9 min read

AI Tools

Jev vs LLMs for AI Decisions: Speed, Cost and Accuracy

Jev proposes a different path for AI classification and routing: typed decisions with calibrated probabilities instead of generated text. We break down where that could beat an LLM and define an independent benchmark.

AiFolder Editorial Team·Sep 21, 2026·8 min read

AI Tools

OpenAPI to SDK, CLI and MCP Server: What Google's Open-Source Generator Changes

Google and Speakeasy open-sourced an OpenAPI generation suite for typed SDKs, agent-native CLIs and documentation MCP servers. Here is what it changes for API and AI-agent developers.

AiFolder Editorial Team·Sep 19, 2026·9 min read