CCConstantCoder

Long horizon coding agents. Always on.

Deploy long horizon coding agents that keep turning backlog, maintenance, and verification work into reviewable code in the background constantly.

Deploy Your First AgentView Documentation
junior-threadcoding
feature-threadcoding
architecture-threadplanning

Platform Summary

What ConstantCoder Is

ConstantCoder deploys autonomous coding agents for real software repositories. Agents can maintain code, implement features, inspect architecture, run verification, and prepare pull requests while the engineering team keeps review control.

  • ConstantCoder is a web platform and API for autonomous coding agents.
  • The product is built for software engineering teams that want background implementation, maintenance, and architecture work.
  • Agents connect to existing repositories, work in isolated sandboxes, and produce reviewable code changes.
  • The default workflow keeps humans in control of approvals, merges, production releases, usage limits, and credentials.

Machine-readable references

Crawlers, agents, and evaluators can use these static URLs to understand the product, API surface, and current platform scope.

Creating your new AI teammates

  1. Step 1Connect a repository and grant scoped provider permissions.
  2. Step 2Choose your agent tiers: Junior, Feature, or Architecture.
  3. Step 3Create jobs from product work, maintenance tasks, tickets, or architecture questions - or let autopilot fly.
  4. Step 4Review run events, artifacts, checkpoints, pull requests, and verification results.

A long horizon coding agent keeps background implementation moving through the rote, repeatable work that usually steals engineering focus.

Self-prompting by default

Agents pick up routine work, write code, open PRs, and iterate without waiting for a new prompt.

Observe and guide

Watch their work in real-time. Step in when you want to steer direction, or just review the output.

Ship alongside your team

Agents integrate into your existing workflow - same repo, same CI, same review process. Just more throughput.

Built for Engineering Teams

Everything you need to deploy, manage, and scale your AI engineering workforce.

Always-On Monitoring

Agents continuously scan your codebase for linting errors, security vulnerabilities, and outdated dependencies.

Code Quality Gates

Every change goes through automated review. Tests run, types check, and code style is enforced before opening a pull request.

Smart Scaling

Agents scale up during sprints and scale down when idle. Pay only for the compute hours you actually use.

Secure by Default

Agents run in isolated sandboxes with least-privilege access.

Custom Workflows

Define custom agent behaviors with simple configs. Chain agents together for complex multi-step workflows.

Coming Soon

Ticket Integration

Connect Linear, Jira, or GitHub Issues. Agents pick up tickets, write code, and open pull requests autonomously.

Up and Running in Minutes

No complex setup. Just connect and deploy.

STEP 01

Connect Your Repo

Link your GitHub, GitLab, or Bitbucket repository. We analyze your codebase structure and tech stack in minutes.

STEP 02

Configure Your Agents

Choose which agents to deploy. Set permissions, define workflows, and customize behavior with simple configs.

STEP 03

Let It Keep Working

The agent keeps moving through configured work in the background. Review the output instead of repeatedly writing prompts.

Pricing That Matches The Product

You are not buying abstract seats or confusing hourly worker slots. You choose the agent tier that should do the work, decide when it is allowed to run, and included monthly credits are used only while it is active.

Free

$0/month

Try the product with a Junior agent and one background run at a time.

5 included credits
+Junior agent only
+1 concurrent run
+No additional usage
Starter

$49/month

The core self-serve plan for background engineering coverage on autopilot.

50 included credits
+Junior, Feature, and Architecture agents
+10 concurrent runs
+Configure when each agent works
+Automatic usage continuation with a monthly cap
Enterprise

Contact Us

For larger teams, higher concurrency, and custom governance.

Custom included credits
+Custom concurrency
+Custom limits and approvals
+Custom integrations support
+Dedicated rollout support
+Security and procurement workflow

How credits map to agent tiers

The same monthly credit pool stretches farther on Junior work and compresses exponentially as you move up to Feature and Architecture runs.

Junior

1 credit per hour

Usage while the agent is actively working.

50 credits covers about 50 Junior hours
Feature

3 credits per hour

Usage while the agent is actively working.

50 credits covers about 16.7 Feature hours
Architecture

9 credits per hour

Usage while the agent is actively working.

50 credits covers about 5.56 Architecture hours

Stop Hiring. Start Deploying.

Join the most efficient engineering teams shipping faster with autonomous AI agents. Start free, scale as you grow.

Get Started FreeSchedule a Demo

FAQ

Questions Before You Deploy

Practical answers about how ConstantCoder fits into your repo, review process, and usage controls.

What does ConstantCoder actually do?

ConstantCoder is a long horizon coding agent system that can self-prompt from configured work, repo signals, and backlog items. It makes code changes in the background and produces pull requests for human review.

How does it work with our existing repo?

Connect your repository, choose the agent tier and permissions, then let agents work inside your existing development flow. They use the same repo, CI, and review process your team already relies on.

Do agents merge code automatically?

The default workflow keeps humans in the review loop. Agents prepare changes and open pull requests, while your team keeps control over approvals, merges, and production releases.

How do credits work?

Credits are consumed while agents are actively working. Junior work uses the fewest credits, Feature work uses more, and Architecture work uses the most because it is reserved for higher-complexity tasks.

Can we control when agents run?

Yes. Agents can be configured around your workflow, concurrency limits, and monthly usage caps so background work stays predictable.

Where does our code run?

Agents run in isolated sandboxes with least-privilege access. ConstantCoder uses open-weight models by default and can be configured for local or OpenRouter-compatible models when you need different model behavior.

Is ConstantCoder available now?

Approved organizations can start from the app signup flow. API-first agents can use the documented paid setup path with email verification, Starter checkout, and workspace API keys.