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Autonomous Coding Loop
Task the AIPanel agent with complex goals. It plans steps, reads workspace context, performs multi-file edits, runs terminal builds, and verifies assertions autonomously.
- Step-by-step implementation planning
- Tool-mediated file system edits & inspection
- Verification evidence before reporting done
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Automated Self-Healing Loop
When builds or unit tests fail, the self-healing loop captures compiler diagnostics and stack traces, proposes targeted code patches, re-runs tests, and iterates until passing.
- Terminal error diagnostics capture
- Automated regression test verification
- Clickable diff inspection before accepting
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Context-Aware Completions
Inline ghost-text suggestions and multi-line completions that consider surrounding code symbols, project dependencies, imports, and architectural patterns.
- Low-latency streaming completions
- Project-wide symbol reference awareness
- Works across Java, Python, TypeScript, Go
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Multi-Model Routing & Local LLMs
Choose the right model for the job. Route complex planning tasks to frontier models while utilizing fast streaming models for inline completions, or run offline via Ollama.
- OpenAI, Anthropic Claude, Google Gemini
- Ollama local model support
- Custom OpenAI-compatible gateways
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Code Understanding & Explain
Select any function, class, or complex regular expression to receive instant architectural explanations, time-complexity analysis, and edge-case documentation.
- Natural language code breakdown
- Docstring & Javadoc generation
- Security vulnerability audits (OWASP Top 10)
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Automated Test Case Generation
Generate comprehensive unit test suites covering edge cases, boundary values, and exception conditions with JUnit 5, pytest, or Vitest in one click.
- Mocking and fixture setup
- Positive, negative & boundary tests
- Zero hallucinated framework methods