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AI-Assisted Software Development

Building AI-augmented engineering workflows that pair human developers with automated planning, generation, and review systems.

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Cloud-Based AI Development Agents

Cloud-based agents enable browser-integrated coding without local setup, delegating tasks to remote AI in isolated environments.

Key Features#

  • Task Delegation: Connect repositories (e.g., GitHub), describe needs; AI implements code, tests, and creates PRs.
  • Parallel Execution: Run multiple tasks across repos simultaneously with real-time progress tracking and user steering.
  • Workflow Integration: Handles bug fixes, routine tasks, backend changes; supports test-driven development.
  • Mobile Access: Use via apps for on-the-go coding exploration.
  • Security: Sandboxed execution with network/filesystem restrictions; secure proxies for Git; custom domain allowlisting.

Agnostic Implementation#

Use APIs from providers offering cloud agents:

  • Connect via OAuth to repos.
  • Send tasks with context (e.g., "Fix bug in auth module").
  • Monitor via webhooks; approve PRs automatically.

Example: Automate backlog triage—AI scans issues, proposes fixes, submits PRs.

Benefits: Reduces setup overhead; scales for teams; maintains isolation.

Best Practices#

  • Start with well-defined tasks; iterate prompts.
  • Review outputs; use for non-critical code first.
  • Ensure compliance: Audit logs, permission scopes.
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