
Agentic Coding: The Impact Gap Is Closing
Agents are spending more tokens, but are they getting more impact in organizations?
Insights about software engineering teams from the Jellyfish Research team
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Agents are spending more tokens, but are they getting more impact in organizations?

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.

Exploding Spend, Diverging Returns

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

Grounded answers, plus real docs for your agentic coding loops

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

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.

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

Investing in skills and context files yields measurable productivity gains

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