Betterloop turns every codebase into a governed agent environment—ready for developers on day one,
aligned to each team, and measurable
across the organization.
THE AGENT COLD START
When every engineer assembles their own prompts, skills, tools, and rules, the enterprise ends up with hundreds of private, unversioned versions of “how we build software.” More capable agents do not remove that setup problem. They multiply it.
WITHOUT A SHARED HARNESS
WITH BETTERLOOP
THE BETTERLOOP CONTROL PLANE
Platform teams define the company baseline. Product teams extend it within guardrails. Developers enter a codebase with an agent already configured for the work.
Replace tribal setup guides with repository blueprints containing the right context, commands, tools, and quality gates.
Set non-negotiables once, then let each team add the domain knowledge and workflows its code actually requires.
Turn tools, skills, extensions, and MCP servers from shadow infrastructure into a governed supply chain.
Measure completion, reliability, latency, token use, recovery, and policy failure without collecting raw work.
CENTRAL CONTROL. LOCAL FIT.
Security and platform teams control the enterprise boundary. Engineering teams control how work gets done inside it. Repositories carry the final, local layer of truth.
Policy inherits downward. Evidence rolls upward. Raw code and prompts do not have to.
Approved providers, data routes, identity, budgets, execution policy, trusted catalogs, and required audit controls.
Specialized workflows, repository groups, task templates, integrations, and team-level reliability goals.
Build and test commands, architectural boundaries, ownership, local memory, permissions, and quality gates.
SAFE, REVERSIBLE LEARNING
Betterloop improves bounded harness context—not model weights. Evidence can become scoped prompt, memory, skill, or subagent improvements through a controlled path that always preserves rollback.
Capture bounded outcome evidence.
Turn recurring evidence into a scoped candidate.
Require repeated verified success.
Distribute by project, team, or signed fleet.
Revert without rewriting history.
BUILT FOR REAL CODE
Betterloop records the run identifiers, versions, outcome scores, timing, token use, scope violations, and adapter failures behind every comparison.
Betterloop and Claude Code solved every task in the recorded six-task comparison.
Mean total tokens versus Claude Code in the same comparison.
Versus Codex with both harnesses using the matched GPT-5.6 Terra model.
Across both recorded harness comparison suites.
Fixed six-task suites · three repeats per task · harness-level results, not universal model-quality claims
CONTROL IS AN ARCHITECTURE
Betterloop is written in safe Rust for long-running, inspectable work. Policy remains in deterministic code beneath the model, where it can be tested and enforced.
Bounded child agents remain scoped to their parent session and operational budgets.
Multiple model providers run through one typed runtime and one policy boundary.
Diagnostics exclude prompt text, model output, tool payloads, credentials, and absolute paths.
Turns, tools, context, output, time, child concurrency, and provider retries remain controlled.
No Node.js runtime required. No unsafe Rust. No prompt masquerading as policy.
START WITH ONE TEAM
Prove the setup against real work, then expand without rebuilding the harness for every repository.
One harness. Every repository. Your rules.