Company
Loopwork helps software teams ship faster by driving developer AI adoption and building the infrastructure needed for agentic development to work in practice.
The founders are engineers who spend their time building agentic systems, not pitching abstractions. The company focuses on the messy middle between capable models and real software teams: trust, workflow design, sandboxing, observability, and repeatable delivery.
What Loopwork Does
There are two core service lines, plus the operational tooling to support them.
Agentic Coding Adoption
Loopwork helps engineering teams move from scattered AI usage to agents doing meaningful work in daily development. That includes executive briefings, team assessments, coaching, and an action plan that matches the stack you actually run.
Custom Agent Harnesses
They also build custom agent harnesses and code factories for teams that want a tighter, faster agentic SDLC. Think developer infrastructure built for parallel agents instead of a single human in an editor.
Infra And Observability
Alongside the services work, Loopwork provides tooling for sandboxing, cloud execution, analytics, usage visibility, and support so teams can run agentic workflows without flying blind.
The Agentic Continuum
One of the more useful ideas in `home.md` is that teams are on a continuum, not in a binary before-and-after state. Loopwork uses that model to figure out where a team actually is and what the next level requires.
Artisan
Code is still written by hand. AI might show up in a chat tab, but it is not part of how the team ships.
Assisted
Developers use autocomplete and chat tools individually, but there is no shared operating model around AI.
Augmented
Agents and review bots are entering real workflows, but they are still heavily supervised and trust is limited.
Autopilot
Agents are doing real work. Humans steer direction, review diffs, and the repo starts getting shaped around agent use.
Agent-Native
Sandboxed apps, automated verification, and code factories let fleets of agents work in parallel with humans acting as reviewers and architects.
Autonomous
Agents are part of the product and part of the development system itself. Very few teams are actually here yet.
How The Work Usually Starts
This is positioned as an active engagement, not a long strategy exercise that ends with a PDF nobody uses.
Executive Briefing
A direct read on where agentic development is going and what that means for the engineering org.
Assessment
Loopwork talks to the team, inspects the workflow, and places the org on the agentic continuum without pretending every company is at the same stage.
Action Plan
The output is a concrete path forward for the stack, product, and team in front of you, not a generic AI transformation deck.
Coaching And Support
They stay involved during implementation with training, follow-ups, and software support while the team builds new habits.
If You Are Trying To Make Agents Useful At Work
Loopwork is aimed at engineering teams that want more than tab-complete and less theater than most AI consulting. If that is the problem, the next step is probably a conversation with the team.