Learn to construct intelligent agents from the ground up with Python
Independent reproduction of this paper. Validated on via a lab build. Required 1 repair round before passing.
Quality score
50%
Tests passed
22/22
Repair rounds
1
Status
failed
Checks
Syntax
| ✓ | syntax_parse | blocking | All 4 .py files parse cleanly |
Imports
| ✗ | import_check | major | No importable packages found (no __init__.py) |
Dependencies
| ✓ | dep_metadata | major | Found pyproject.toml |
Tests
| ✓ | pytest_run | major | pytest: 22 passed, 0 failed, 0 errors (exit 0) |
Packaging
| ✗ | pip_installable | major | pip install failed: ERROR: Exception: Traceback (most recent call last): File "/media/lumi-node/Storage2/research-radar/.venv/lib/python3.13/site-packages/pip/_internal/cli/base_command.py", line 107, in _run_wrapper |
Git State
| ✓ | worktrees_merged | major | No .worktrees directory |
| ✓ | on_main_branch | minor | Current branch: main |
Cleanup
| ✓ | cleanup_ok | info | No cleanup issues found |
Whole-Repo Review
| ✓ | claude_review | info | Claude review: 6/10 — The code implements a functional agent-environment loop with deterministic item collection on a 5x5 grid. It runs and co |
Citation & embed
Badge
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