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@Sahilbhatane
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@Sahilbhatane Sahilbhatane commented Nov 9, 2025

Simple CLI Interface

Fixes #11

Summary

Implemented a command-line interface for Cortex that allows users to install software using natural language commands. The CLI integrates with the existing LLM layer to parse requests and generate validated system commands.

Implementation

Core Features

  • Entry Point: cortex install <software> command
  • LLM Integration: Calls CommandInterpreter to parse natural language requests
  • Progress Display: Animated spinner and status indicators (🧠, 📦, ⚙️, ✅, ❌)
  • Multiple Modes:
    • Default: Shows generated commands without executing
    • --execute: Runs the generated commands
    • --dry-run: Displays commands for review
  • Smart API Detection: Automatically detects OPENAI_API_KEY or ANTHROPIC_API_KEY
  • Error Handling: Clear, actionable error messages

Files Created

cortex/cli.py - Main CLI implementation

  • CortexCLI class with install command logic
  • Progress indicators and user-friendly output
  • Command execution with subprocess
  • Comprehensive error handling

cortex/__init__.py - Package initialization

  • Version information
  • Main entry point export

cortex/test_cli.py - Test suite

  • 22 unit tests covering all CLI functionality
  • Mocked API calls and subprocess execution
  • Edge cases and error scenarios

setup.py - Package configuration

  • pip installable package
  • Console script entry point: cortex
  • Dependencies from LLM/requirements.txt

MANIFEST.in - Package manifest

  • Includes all necessary files for distribution

.gitignore - Git ignore rules

  • Excludes build artifacts and cache files

Usage Examples

# Show help
cortex --help
cortex install --help

# Generate commands (default mode)
cortex install docker

# Execute commands
cortex install docker --execute

# Dry run mode
cortex install "nginx web server" --dry-run

# Complex installations
cortex install "python 3.11 with pip and virtualenv" --execute

# **Notes**- 
User need to have credit in there API key from provider, OPENAI give 5$ of free credit which can help in testing above command but only once.

<!-- This is an auto-generated comment: release notes by coderabbit.ai -->

## Summary by CodeRabbit

## Release Notes

* **New Features**
  * Interactive CLI for AI-assisted software installation with support for OpenAI and Claude providers
  * Dry-run mode to preview installation commands before execution
  * Command execution with progress tracking and verification
  * Updated default AI model selection for improved performance

* **Chores**
  * Added project packaging configuration and standard project ignores

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

@mikejmorgan-ai
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This is excellent - the CLI is the user's first interaction with Cortex Linux, so this is critical.

Before merge, need to validate:

  1. Does this integrate with the existing LLM layer (PR fixed Build LLM integration layer for command interpretation #5)? The CommandInterpreter should be calling your merged code.

  2. API key handling - How does it find ANTHROPIC_API_KEY or OPENAI_API_KEY? Environment variables?

  3. Testing - Can you provide exact steps to test this locally?
    pip install -r requirements.txt
    export ANTHROPIC_API_KEY="..."
    cortex install docker

  4. Error messages - What happens if no API key is found? Does it give clear instructions?

Once I can verify this works end-to-end, this merges immediately.

Re: Issue #11 - Was there an Issue #11 created, or should this be fixing a different issue number?

Also - you've now delivered:

If this CLI PR is substantial, I'm adding another $150-200 bounty for it. Let me test it first.

Great work building the user experience layer.

@Sahilbhatane
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Yes ofcourse you can test it, I have considered all this and created a dedicated test file as well for it. For your simplicity and testing just run test_cli.py.

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mikejmorgan-ai commented Nov 9, 2025

@dhvll Can you pull this branch and run python test_cli.py to verify integration? Want technical sign-off before merge."

@dhvll
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dhvll commented Nov 10, 2025

Yes sure will do it @mikejmorgan-ai

@dhvll
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dhvll commented Nov 10, 2025

@Sahilbhatane please attach a video of the implementation.

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coderabbitai bot commented Nov 11, 2025

Note

Other AI code review bot(s) detected

CodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review.

Walkthrough

This change introduces a complete CLI-based software installation system for the Cortex project. It adds packaging infrastructure (setup.py, MANIFEST.in, .gitignore), a new CortexCLI command-line interface with interactive installation workflows, an InstallationCoordinator framework for managing multi-step installations with progress tracking and rollback support, comprehensive test coverage, and adjusts the LLM module's default model configuration.

Changes

Cohort / File(s) Summary
Packaging & Configuration
.gitignore, MANIFEST.in, setup.py
Added standard Python project ignores, packaging directives to include documentation and source files (README.md, LICENSE, LLM/, cortex/), and a setuptools configuration with console entry point cortex=cortex.cli:main and dependency collection from LLM/requirements.txt.
LLM Module Adjustments
LLM/interpreter.py, LLM/test_interpreter.py
Changed default OpenAI model from "gpt-4" to "gpt-4o-mini"; updated test imports and patch targets to reference external package modules (openai.OpenAI, anthropic.Anthropic) instead of local imports, and adjusted sys.path for proper module resolution.
CLI Framework
cortex/__init__.py, cortex/cli.py
Added package initialization exposing main entry point and __version__ ("0.1.0"); created CortexCLI class providing interactive installation workflow with API key retrieval, provider detection, command generation via CommandInterpreter, optional dry-run/execute modes, and progress tracking with formatted status messages.
Installation Coordination
cortex/coordinator.py
Introduced InstallationCoordinator framework with StepStatus enum and InstallationStep/InstallationResult dataclasses for structured step tracking, execution with timeout/error handling, optional rollback support, logging to console and file, progress callbacks, post-install verification, and a concrete install_docker flow.
Test Suites
cortex/test_cli.py, cortex/test_coordinator.py
Added comprehensive unit tests for CortexCLI (API key retrieval, provider selection, install flows, dry-run/execute modes, error handling) and InstallationCoordinator (step execution, timeouts, stop-on-error, rollback, verification, JSON export).

Sequence Diagram

sequenceDiagram
    participant User
    participant CortexCLI
    participant CommandInterpreter
    participant InstallationCoordinator
    participant Shell

    User->>CortexCLI: cortex install docker --execute
    CortexCLI->>CortexCLI: Get API key (env vars)
    CortexCLI->>CortexCLI: Detect provider (openai/claude)
    
    rect rgb(220, 240, 250)
        Note over CortexCLI: Planning Phase
        CortexCLI->>CommandInterpreter: Generate install commands
        CommandInterpreter-->>CortexCLI: List of shell commands
    end
    
    alt Dry-run Mode
        CortexCLI->>User: Display commands (no execution)
        CortexCLI-->>User: Exit (code 0)
    else Execute Mode
        rect rgb(240, 230, 250)
            Note over CortexCLI,InstallationCoordinator: Execution Phase
            CortexCLI->>InstallationCoordinator: execute()
            loop For each command
                InstallationCoordinator->>Shell: Run command
                Shell-->>InstallationCoordinator: Output + return code
                InstallationCoordinator->>CortexCLI: progress_callback (step status)
                CortexCLI->>User: Print status (SUCCESS/FAILED)
            end
        end
        InstallationCoordinator-->>CortexCLI: InstallationResult
        alt Success
            CortexCLI->>User: ✅ Installation complete
        else Failure
            CortexCLI->>User: ❌ Installation failed
            opt Rollback enabled
                InstallationCoordinator->>Shell: Execute rollback commands
            end
        end
    end
Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45 minutes

  • cortex/coordinator.py: Dense state management with subprocess execution, timeout handling, rollback logic, and file I/O. Requires careful review of command execution flow, error handling, and rollback correctness.
  • cortex/cli.py: Integration of multiple components (CommandInterpreter, InstallationCoordinator) with user-facing output formatting, error scenarios, and exit code logic. Cross-module interaction flow needs validation.
  • setup.py: Dependency parsing and packaging configuration should be verified for correctness.
  • Test files (cortex/test_cli.py, cortex/test_coordinator.py): While comprehensive, test count and mocking complexity add review scope; verify mock patch targets and assertion logic.

Poem

🐰 A shiny new CLI hops into place,
With cortex install—no need for haste!
The Coordinator keeps each step in stride,
While progress callbacks dance side by side.
From planning through rolling back with care,
Installation magic fills the air! ✨

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The pull request title clearly and specifically summarizes the primary change: adding a CLI interface for the cortex command.
Linked Issues check ✅ Passed The PR implements all core requirements from issue #11: entry point (cortex install), LLM layer integration (CommandInterpreter), progress display (spinner with status indicators), result display, and pip installation via setup.py.
Out of Scope Changes check ✅ Passed All changes align with issue #11 scope. Added files (cortex/cli.py, cortex/init.py, cortex/test_cli.py, cortex/coordinator.py, setup.py, MANIFEST.in, .gitignore) directly support the CLI interface objective.
✨ Finishing touches
  • 📝 Docstrings were successfully generated.
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment

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UTG Post-Process Complete

No new issues were detected in the generated code and all check runs have completed. The unit test generation process has completed successfully.

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Creating a PR to put the unit tests in...

The changes have been created in this pull request: View PR

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Pull Request Overview

This PR implements a command-line interface for Cortex, enabling users to install software using natural language commands. The CLI integrates with the existing LLM layer to parse user requests and generate validated system commands, with options for dry-run mode and actual execution.

Key Changes

  • CLI entry point with cortex install <software> command supporting dry-run and execute modes
  • Installation coordinator for multi-step command execution with progress tracking, rollback support, and logging
  • Comprehensive test suites for both CLI and coordinator components with 100+ unit tests
  • Package configuration with setup.py for pip installation and console script registration

Reviewed Changes

Copilot reviewed 8 out of 9 changed files in this pull request and generated 27 comments.

Show a summary per file
File Description
setup.py Configures pip-installable package with console script entry point and dependencies from LLM/requirements.txt
cortex/cli.py Main CLI implementation with natural language parsing, progress indicators, and command execution modes
cortex/coordinator.py Multi-step installation coordinator with progress tracking, rollback, verification, and logging capabilities
cortex/init.py Package initialization with version and main entry point export
cortex/test_cli.py Unit tests for CLI functionality covering all execution modes and error scenarios
cortex/test_coordinator.py Unit tests for coordinator covering command execution, rollback, verification, and edge cases
MANIFEST.in Package manifest for distribution including README, LICENSE, and source files
LLM/test_interpreter.py Updated test imports to use absolute module paths for better compatibility
.gitignore Standard Python gitignore patterns for build artifacts and virtual environments
Comments suppressed due to low confidence (6)

cortex/coordinator.py:5

  • Import of 'field' is not used.
from dataclasses import dataclass, field

cortex/cli.py:5

  • Import of 'List' is not used.
from typing import List, Optional

cortex/cli.py:6

  • Import of 'subprocess' is not used.
import subprocess

cortex/test_coordinator.py:2

  • Import of 'call' is not used.
from unittest.mock import Mock, patch, call

cortex/test_cli.py:2

  • Import of 'call' is not used.
    Import of 'MagicMock' is not used.
from unittest.mock import Mock, patch, MagicMock, call

cortex/coordinator.py:82

  • 'except' clause does nothing but pass and there is no explanatory comment.
            except Exception:

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

@Sahilbhatane
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@copilot open a new pull request to apply changes based on the comments in this thread

@Sahilbhatane Sahilbhatane marked this pull request as draft November 11, 2025 15:34
@Sahilbhatane Sahilbhatane marked this pull request as ready for review November 11, 2025 15:38
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Actionable comments posted: 1

♻️ Duplicate comments (9)
cortex/test_cli.py (5)

2-2: Remove unused imports.

The MagicMock and call imports are not used in this test file.

Apply this diff to remove unused imports:

-from unittest.mock import Mock, patch, MagicMock, call
+from unittest.mock import Mock, patch

199-202: Mock time.sleep to speed up test execution.

The _animate_spinner method includes time.sleep(0.1), making this test unnecessarily slow. Mocking the sleep call eliminates the delay while still verifying the spinner logic.

Apply this diff to mock the sleep:

-    def test_spinner_animation(self):
+    @patch('time.sleep', return_value=None)
+    def test_spinner_animation(self, mock_sleep):
         initial_idx = self.cli.spinner_idx
         self.cli._animate_spinner("Testing")
         self.assertNotEqual(self.cli.spinner_idx, initial_idx)

42-46: Fix ineffective test assertion.

The assertion self.assertTrue(mock_stdout.write.called or print) always evaluates to True because print is a built-in function object. The test should verify that output was actually produced.

Apply this diff to fix the assertion:

     @patch('sys.stdout')
     def test_print_status(self, mock_stdout):
         self.cli._print_status("🧠", "Test message")
-        self.assertTrue(mock_stdout.write.called or print)
+        # _print_status uses print(), which writes to stdout
+        # Verify print was called (print calls stdout.write)
+        self.assertTrue(mock_stdout.write.called)

47-51: Fix ineffective test assertion.

The assertion self.assertTrue(True) always passes and doesn't verify anything. The test should check that the error message was written to stderr.

Apply this diff to verify the mock was called:

     @patch('sys.stderr')
     def test_print_error(self, mock_stderr):
         self.cli._print_error("Test error")
-        self.assertTrue(True)
+        # Verify error was written to stderr
+        mock_stderr.write.assert_called()

52-56: Fix ineffective test assertion.

The assertion self.assertTrue(True) always passes and doesn't verify anything. The test should check that the success message was written to stdout.

Apply this diff to verify the mock was called:

     @patch('sys.stdout')
     def test_print_success(self, mock_stdout):
         self.cli._print_success("Test success")
-        self.assertTrue(True)
+        # Verify success message was written to stdout
+        mock_stdout.write.assert_called()
cortex/coordinator.py (4)

5-5: Remove unused import.

The field import from dataclasses is not used in this file.

Apply this diff:

-from dataclasses import dataclass, field
+from dataclasses import dataclass

85-126: Consider security implications of shell=True.

Using shell=True (line 94) with user-controlled input enables shell injection vulnerabilities if the LLM is manipulated or validation is bypassed. While commands are validated by the LLM layer, using shell=False with parsed command lists (e.g., via shlex.split()) would provide defense-in-depth.

Consider this approach for better security:

import shlex

# In _execute_command:
try:
    result = subprocess.run(
        shlex.split(step.command),  # Parse command safely
        shell=False,
        capture_output=True,
        text=True,
        timeout=self.timeout
    )

Note: This requires commands to be simple (no pipes, redirects, shell expansions). For complex shell commands, additional parsing or a different approach would be needed.


155-159: Progress callback timing consideration.

The progress callback is invoked at line 157 before _execute_command runs, so the step status is still PENDING. After execution, the status updates to SUCCESS or FAILED, but the callback has already been called. As noted in past reviews, this means the callback receives pre-execution state. Consider calling the callback after execution for accurate status reporting, or document this timing behavior clearly.


248-284: Example function demonstrates coordinator usage well, but uses deprecated command.

The install_docker() function provides a clear example of coordinator usage with descriptions, timeout, and verification. However, line 252 uses the deprecated apt-key add command. Modern Ubuntu versions (22.04+) prefer storing keys in /etc/apt/keyrings/.

Consider updating to the modern approach:

-        "curl -fsSL https://download.docker.com/linux/ubuntu/gpg | apt-key add -",
+        "curl -fsSL https://download.docker.com/linux/ubuntu/gpg | gpg --dearmor -o /etc/apt/keyrings/docker.gpg",

And update the repository addition command accordingly:

-        'add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"',
+        'echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" > /etc/apt/sources.list.d/docker.list',
🧹 Nitpick comments (1)
cortex/cli.py (1)

8-11: Drop runtime sys.path mutation

Hard-coding sys.path.insert(...) in production CLI code is unnecessary once the package is installed and risks precedence bugs. The package layout and entry point already ensure both cortex and LLM are importable. Please remove the path tweaking and rely on proper packaging.

-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
-
 from LLM.interpreter import CommandInterpreter
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3e98593 and dfa2794.

📒 Files selected for processing (10)
  • .gitignore (1 hunks)
  • LLM/interpreter.py (1 hunks)
  • LLM/test_interpreter.py (10 hunks)
  • MANIFEST.in (1 hunks)
  • cortex/__init__.py (1 hunks)
  • cortex/cli.py (1 hunks)
  • cortex/coordinator.py (1 hunks)
  • cortex/test_cli.py (1 hunks)
  • cortex/test_coordinator.py (1 hunks)
  • setup.py (1 hunks)
🧰 Additional context used
🧬 Code graph analysis (6)
cortex/coordinator.py (1)
cortex/cli.py (1)
  • progress_callback (86-93)
cortex/test_cli.py (3)
cortex/cli.py (9)
  • CortexCLI (14-133)
  • main (136-172)
  • _get_api_key (19-24)
  • _get_provider (26-31)
  • _print_status (33-34)
  • _print_error (36-37)
  • _print_success (39-40)
  • install (52-133)
  • _animate_spinner (42-46)
LLM/interpreter.py (1)
  • parse (131-145)
cortex/coordinator.py (1)
  • execute (149-195)
cortex/__init__.py (1)
cortex/cli.py (1)
  • main (136-172)
cortex/test_coordinator.py (1)
cortex/coordinator.py (11)
  • InstallationCoordinator (44-245)
  • InstallationStep (19-32)
  • InstallationResult (36-41)
  • StepStatus (10-15)
  • install_docker (248-284)
  • duration (29-32)
  • execute (149-195)
  • add_rollback_command (146-147)
  • verify_installation (197-218)
  • get_summary (220-241)
  • export_log (243-245)
LLM/test_interpreter.py (1)
LLM/interpreter.py (3)
  • CommandInterpreter (12-158)
  • APIProvider (7-9)
  • parse (131-145)
cortex/cli.py (2)
LLM/interpreter.py (2)
  • CommandInterpreter (12-158)
  • parse (131-145)
cortex/coordinator.py (3)
  • InstallationCoordinator (44-245)
  • StepStatus (10-15)
  • execute (149-195)
🪛 Ruff (0.14.4)
cortex/coordinator.py

62-62: Avoid specifying long messages outside the exception class

(TRY003)


82-83: try-except-pass detected, consider logging the exception

(S110)


82-82: Do not catch blind exception: Exception

(BLE001)


92-92: subprocess call with shell=True identified, security issue

(S602)


121-121: Do not catch blind exception: Exception

(BLE001)


125-125: Use explicit conversion flag

Replace with conversion flag

(RUF010)


137-137: subprocess call with shell=True identified, security issue

(S602)


143-143: Do not catch blind exception: Exception

(BLE001)


144-144: Use explicit conversion flag

Replace with conversion flag

(RUF010)


204-204: subprocess call with shell=True identified, security issue

(S602)


214-214: Do not catch blind exception: Exception

(BLE001)


216-216: Use explicit conversion flag

Replace with conversion flag

(RUF010)

cortex/test_cli.py

28-28: Unused method argument: mock_stderr

(ARG002)


48-48: Unused method argument: mock_stderr

(ARG002)


53-53: Unused method argument: mock_stdout

(ARG002)

LLM/test_interpreter.py

82-82: Unused method argument: mock_openai

(ARG002)

cortex/cli.py

123-123: Consider moving this statement to an else block

(TRY300)


129-129: Use explicit conversion flag

Replace with conversion flag

(RUF010)


131-131: Do not catch blind exception: Exception

(BLE001)


132-132: Use explicit conversion flag

Replace with conversion flag

(RUF010)

🔇 Additional comments (8)
cortex/test_cli.py (1)

57-202: Excellent test coverage.

The test suite comprehensively covers:

  • API key detection and provider selection
  • All execution modes (dry-run, execute, default)
  • Success and failure paths
  • Exception handling (ValueError, RuntimeError, generic Exception)
  • Edge cases (no commands generated, missing API key)
  • CLI argument parsing and main entry point

This provides strong confidence in the CLI implementation.

cortex/coordinator.py (7)

10-42: Well-designed data structures.

The StepStatus enum and dataclasses (InstallationStep, InstallationResult) provide clear state tracking with timing, output capture, and return codes. The duration() method is a nice ergonomic touch.


44-72: Solid initialization with validation.

The constructor properly validates that descriptions match commands and initializes all necessary state. The flexible configuration options (timeout, stop_on_error, rollback, callbacks) provide good control.


74-83: Logging exception handling is acceptable.

While the broad exception handler at lines 82-83 silently suppresses logging errors, this is appropriate for auxiliary logging functionality. Failing to write logs shouldn't crash the installation process.


128-147: Rollback mechanism is well-implemented.

The rollback logic correctly executes commands in reverse order and handles failures gracefully. The same shell=True security consideration from the previous comment applies here as well.


149-195: Execute method orchestrates installation flow correctly.

The method properly:

  • Tracks timing and failed steps
  • Invokes progress callbacks
  • Handles stop-on-error with step skipping
  • Triggers rollback when enabled
  • Constructs detailed results with all step information

The overall control flow is solid.


197-218: Verification method provides useful validation.

The verification mechanism runs commands post-installation and reports pass/fail status. This is helpful for confirming successful installation. The same shell=True security consideration applies here.


220-245: Summary and export utilities enhance observability.

The get_summary() method provides clear aggregated statistics and per-step details, while export_log() enables persistent audit trails. These are valuable for debugging and monitoring installation processes.

@Sahilbhatane
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With fixed issue #8(no separate PR as #18 PR was not reviewed and merged)

@dhvll
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dhvll commented Nov 11, 2025

Open issue #8 in separate PR. And make a habit of uploading video demonstration of your code is working. Just test cases are not enough. It becomes easier for reviewer to review the PR.

@mikejmorgan-ai
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Great progress! The core implementation is solid. To complete this PR, please:

  1. Integration - Connect to main CLI (cortex install [package] flow)
  2. Documentation - Complete README with usage examples
  3. End-to-End Test - Add one test showing full user workflow
  4. Demo Video/GIF - Show it working (huge bonus for visibility)

This is the most critical feature for Cortex Linux. Your work is laying the foundation for everything else. Keep going! 💪

Bounty remains $100 on merge. Additional $25 bonus if you include working demo.

@mikejmorgan-ai
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mikejmorgan-ai commented Nov 14, 2025

@dhvll and @Sahilbhatane - PR #18 is substantial work on our CLI interface.

Review assignments:

  • @dhvll: Technical review (code quality, integration, testing)
  • @Sahilbhatane: You've requested this, so please respond to dhvil's feedback

Both sign-offs required before merge. This is a critical foundation piece.

Bounty: $100 each on approval and merge.

@sonarqubecloud
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@Sahilbhatane Sahilbhatane marked this pull request as draft November 14, 2025 15:13
@mikejmorgan-ai
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@dhvll

Saw PR #18 (CLI interface) has a lot of discussion happening. This is your call as Lead

  1. Review the code quality and implementation
  2. Request changes if needed
  3. Merge when it meets our standards
  4. Reject if it doesn't fit our architecture

I trust your technical judgment. You're the decision-maker on all code reviews now.

Just keep me updated on:

  • When major features merge (like this CLI)
  • If there are any conflicts between contributors
  • Bounty decisions (who gets paid for what)

Otherwise, you run the technical side. I'm focused on fundraising and business development.

  • Mike

@dhvll
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dhvll commented Nov 15, 2025

I'm personally working on that issue because it is critical to our project.
Will keep you updated.

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coderabbitai bot commented Nov 16, 2025

Warning

Docstrings generation - IN PROGRESS

Generating docstrings for this pull request

@mikejmorgan-ai mikejmorgan-ai added this to the MVP - Core Features milestone Nov 17, 2025
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Simple CLI Interface

3 participants