The reliability loop for AI-written software

Switch agents.
Keep the context.

Move between coding agents without rebuilding the backstory. Keep task reports, decisions and open questions together for the next piece of work.

Built for teams using more than one coding agent.

CodexClaude CodeCursorOpenCodeGemini CLIGitHub CopilotClineGoose

001 / ONE CONNECTED PRODUCT

Choose. Measure. Maintain.

Three connected jobs, one reliability loop. Explore the current workspace as you move through the story.

01 / CHOOSE & RUN

Bring your agents
into one view.

An Agent Profile is the complete setup: harness, model, tools, context and permissions. Start by connecting the coding agents you already use.

Agent connections · Profile comparisons in pilot
02 / CAPTURE THE WORK

A task. A result.
A record to return to.

Follow work across agents. Keep the goal, selected context and received reports attached to the task, so completion doesn’t erase the history.

Task reports and retained records
03 / MEASURE THE OUTCOME

The useful signal
comes after the run.

Inspect reported activity today. Our pilot work connects verification, review, production and maintenance to the next agent decision.

Recorded activity · Outcome comparisons in pilot
04 / KEEP IT OWNABLE

The next change
starts with context.

Preserve why the code exists, what was decided and what remains unresolved. Help an engineer or another agent pick up the work without starting from zero.

Shared context and retained records
Lupable agent connections and last contact status

Connect your coding agents and inspect each connection’s status and last contact.

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THE LOOP WE’RE BUILDING · FROM TASK TO LONG-TERM OWNERSHIP

  1. Agent Profile
  2. Task
  3. Change
  4. Verification
  5. Review
  6. Merge
  7. Production
  8. Maintenance
  9. Next choice ↗

002 / MAINTAINER OF RECORD

Keep the why.
Long after
the code ships.

A Maintainer of Record keeps the context behind a change: why it exists, the decisions it carries, and the evidence behind it. Shared context keeps the handoff ready. Company brain lets your team ask about retained work and inspect the sources behind an answer.

  • Retained intent, decisions and open questions
  • Your guidance and supporting files alongside collected context
  • A context snapshot showing what each queued task received
See shared context
Try shared context

003 / INSIGHTS

The work behind
the numbers.

See completion and failure reports by agent, open their supporting tasks, and inspect retained change evidence. Use a focused pilot to connect this activity to verification, review and later maintenance.

  • Completion and failure reports by agent
  • Retained change checks, plus existing usage and cost views
  • A clear distinction between reports and verification

Productivity gains and ROI need a comparison baseline. Task counts alone don’t establish either.

Explore insights
lupable / customer-portalTask activity

The work at a glance

6 task records
Completed 2Running 2Failed 1Queued 1
BY AGENTREPORTED OUTCOME
Codex1 completed · 1 running
Claude Code1 completed · 1 running · 1 failed
One task needs attention

Invoice downloads return 403 for paid customers.

Failed
Independent verificationNot measured here
Illustrative task activity. Agent reports are separate from verified results.

004 / WHO IT’S FOR

Built for teams
owning AI-written software.

ENTERPRISE TEAMS

Work efficiently.
Build confidently with AI.

Bring developers and coding agents into a shared workspace. Keep project context connected, follow the work and review the evidence behind AI-assisted changes.

Talk to us about your team ↗
INDIVIDUAL DEVELOPERS

Your agents.
Your software to own.

Keep project decisions and task history connected as you move between coding agents. Use the workspace to retain the context behind the work.

Join the waitlist ↗

005 / THE DETAILS

Before you connect.

What is an Agent Profile?

The complete setup that did the work: the agent harness and version, model, reasoning settings, context, skills, tools, environment, permissions and verification strategy. Comparing only the model misses the rest of that setup.

Is the full reliability loop available today?

The workspace supports agent connections, task reports, shared context and retained records. Task-specific profile comparisons and live production and maintenance outcomes are being validated through pilots. Reported completion is not a reliability score.

Does Lupable replace my coding agent?

You connect your existing agent. The current hosted workflow lets that agent claim tasks and report its work through Lupable’s bridge.

What becomes shared context?

Lupable compacts completed and failed task reports into retained context. You can also add guidance and supporting files. Full off-platform conversations and terminal output are not automatically collected by this connection.

Does a completed task mean the code is verified?

A completion report is what the agent reported. Independent checks and their evidence are separate, and should be inspected before relying on a result.

Can I run Lupable inside my company?

The product backend can be operated on private infrastructure. Contact us to scope an enterprise pilot and the client, identity and deployment requirements for your environment.

What happens when I join the waitlist?

The form opens your email app with a request addressed to contact@lupable.com. You choose whether to send it; submitting the form does not automatically register an account.

LET’S CONNECT THE WORK

Choose with evidence.
Maintain with context.

Start with a focused pilot. Show us the codebase, task class and agent setups your team wants to understand.