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Codespeed Intelligence

The first AI workforce that improves itself.

Recursive self-improvement is here. Codespeed Intelligence is the foundation of all agentic decisions on the platform. It’s the layer above your selected model that determines governing context, routing, review, memory, and learning, so your workforce compounds value over time.

Raised by a specialist
The specialist noticed

The failover path has no test for partial drains.

The specialist showed

Three near misses caught in review this month.

Lead Dev said

Strong recommendation, and the platform specialist should take it.

Work It Finds

Specialists make proactive suggestions to improve the codebase and the business.

A workforce that has learned your codebase and your business stops waiting to be asked. Specialists raise what they noticed while doing the work, each suggestion carrying the evidence behind it and the name of the specialist that raised it. Lead Dev sorts them, separating a strong recommendation from something that only deserves watching, and none of it becomes work until you say so.

Where Suggestions Arrive
Across The Team

Every agent compounds its intelligence continuously.

Specialists get sharper at the work

Each specialist compounds expertise in its lane. Your security specialist learns the vulnerabilities specific to your architecture, your migration specialist learns your patterns service by service, and every one of them gets better on your codebase, not on software in general.

Lead Dev gets sharper at managing the team

Lead Dev compounds judgment about the work itself, learning who to assign what, when a call needs a second opinion, and what your team accepts or sends back, then routes, delegates, and reviews better from one objective to the next.

Recursive Self-Improvement

Your AI workforce gets better every night.

Codespeed Dreaming gives your AI workforce what every intelligent system needs: time to consolidate what happened, decide what matters, and wake up better.

The human mind does some of its best work while we sleep. Memory settles, noise falls away, patterns surface, and the mind returns sharper.

Codespeed brings that rhythm into autonomous AI software engineering teams. After your specialists and Lead Dev build, review, investigate, and learn, the workforce sleeps on the work.

The result is a workforce with an inner life. One that learns what to remember, what to forget, and how to think with more clarity and focus for the next day.

A memory that doesn’t change the next run is just stored context. Dreaming turns it into judgment.

01

Keep what earned trust

The lessons your team stood behind become how specialists work tomorrow.

02

Let the noise fall away

What the work stops confirming loses its hold, so yesterday’s guesses don’t steer tomorrow’s decisions.

03

Wake up sharper

Specialists and Lead Dev return with clearer context, calmer judgment, and a firmer sense of your quality bar.

Dreaming runs on its own by default

Left alone, Dreaming runs every night and cleans up after itself, settling what your specialists remember and dropping the assumptions Lead Dev should stop carrying forward. If you want a closer hold, you can require review before any memory changes, or turn it off completely, either for the whole project or for one specialist.

Memory follows the same permissions as the work

Memory runs on the permissions you already set, so governance always runs end-to-end. Dreaming never gets more freedom than the specialist already has.

Every memory stays visible and correctable

Every memory shows what the specialist learned and how much weight it carries. Remove anything wrong or out of date and the next night takes the correction into account. Leave it alone and Dreaming still prunes what stopped earning its place, so you can stay as hands-off or as hands-on as you like.

The Boundary Around It

Autonomy stops exactly where you set it.

A workforce that remembers, proposes, and earns authority is only safe to run if the limits hold. Specialists work inside network-isolated sandboxes, production branches and resources sit behind protected writes, hard stops cannot be configured away, and every consequential action is recorded in the same transaction that performs it.

FROM LARA CHELAK, FOUNDER

Collective intelligence is the new frontier

In 1962, the President of the United States stood in the Houston heat and told a country it was entering a new frontier, not the Old West of Houston lore, but outer space.

The best minds in the world were only beginning to undertake missions most people could hardly comprehend, yet the space program would soon give Americans moments of collective awe and humanity a shared horizon.

President Kennedy described the exploration of space as inevitable. Reaching it would require new knowledge, new forms of engineering, and above all, the courage to pursue “the unknown and the unanswered and the unfinished.”

He stood at midfield at Rice University speaking about machines that had not yet been built and a destination no human being had ever reached.

Just under seven years later, Apollo 11 reached the moon, and human beings stood on another world for the first time.

Build an AI workforce that gets smarter on its own.