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Jellyfish Research

Insights about software engineering teams from the Jellyfish Research team

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Agentic Coding: The Impact Gap Is Closing

Agents are spending more tokens, but are they getting more impact in organizations?

Tokens Are Rocket Fuel, Spending Tokens Is Rocket Science

Looking to get the most out of your software development token spend? Here's how you can overcome the headwinds to build a better engineering machine.

The State of AI: H1 2026

Exploding Spend, Diverging Returns

How building an MCP App changed the way we understand the value of MCP

It’s been over a year now since we released our Jellyfish MCP.

Product Update: The Jellyfish MCP Is Now Documentation-Aware

Grounded answers, plus real docs for your agentic coding loops

Our Journey with OpenClaw: Jellyclaw

At Jellyfish we at the research team are looking for ways to innovate and research new trends. Openclaw was one under our radar since it’s inception and we decided to start this journey to understand

The Opus 4.7 Tokenizer Tax

Anthropic quietly raised Opus prices by changing the tokenizer, not the price tag. Here's what it actually costs when measured across 17K real-world Claude Code users.

AI Agent Autonomy

Autonomous agents are becoming more ubiquitous, with releases from the industry and users experimenting with running an AI on their computer. We asked ourselves: what does autonomy look like in AI age

Teaching Your AI Agent Pays Off

Investing in skills and context files yields measurable productivity gains

Tokenmaxxing and the Agentic Barrier

Tokens are like rocket fuel, and just like a rocket, going faster and faster requires burning exponentially more