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AI agents for software development

Build software as a team.

Go from idea to reviewed change with agents that share context and responsibilities.

Connect GitHub, GitLab, or Bitbucket, then build in Cursor with Claude Fable 5, GPT-5.6 Sol, and Codex. Agents plan, code, test, review, and prepare releases inside a governed workflow.

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Software team
Working

Current objective

Go from idea to reviewed change with agents that share context and responsibilities.

Connected development stack

GitHubSource control
GitLabSource control
BitbucketSource control
CursorAgent IDE
Claude Fable 5Anthropic model
GPT-5.6 SolOpenAI model
CodexCoding agent
And more100+ connectors
01Describe the change
02Let agents divide the work
03Review what ships

What changes

01

More shipped work

Parallelize planning, implementation, testing, and review.

02

A steadier quality bar

Run the same checks even when the sprint gets tight.

03

Context that compounds

Keep architecture, decisions, and fixes attached to the work.

How it works

Start with a goal. Add tools and boundaries. Let the team handle the coordination.

  1. 01

    Describe the change

    Give the team a goal, repository, and definition of done.

  2. 02

    Let agents divide the work

    Builders, testers, and reviewers collaborate in parallel.

  3. 03

    Review what ships

    Inspect the changes, evidence, and release notes before merge.

Your team can produce

  • Feature plans
  • Code changes
  • Tests and reviews
  • Release notes

Questions, answered.

The short version, without the pitch deck.

Can AI agents build production software?

They can plan, implement, test, and review production changes. Teams should still use normal code review, security, and deployment controls.

Can multiple coding agents work together?

Yes. Smart AI Team can assign specialized agents to implementation, testing, review, and documentation while preserving shared project context.

Do software agents work with existing repositories?

Yes. Agents can work with GitHub, GitLab, and Bitbucket repositories, follow your conventions, and use the permissions you connect to the workspace.

Give the work a team.

Start with one outcome. Expand when it earns your trust.

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