Fixing Issues automatially with Bob Shell

2026-02-23 · Source: Niklas Heidloff · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

IBM Bob, an AI SDLC partner, can autonomously identify and fix software issues via its CLI, as demonstrated by resolving a bug in a sample flight booking application. The AI tool received a prompt detailing an issue where booked-out flights were displayed on the "Available Flights" page. Bob analyzed the backend code, specifically the `list_flights` function in `flight.py`, and identified that it returned all flights without filtering for availability. It then modified the function to filter flights where `seats_available > 0`, added a new test case (`test_list_flights_excludes_booked_out`) to `test_services.py` to validate the fix, installed `pytest` in the virtual environment, ran all 30 backend tests successfully, and committed the changes to Git. This entire process, including analysis, code modification, testing, and committing, was executed automatically using the `--yolo` (You Only Live Once) and `--sandbox` flags.

Key takeaway

For MLOps Engineers or AI Engineers evaluating autonomous code remediation tools, IBM Bob demonstrates a complete workflow from issue analysis to tested commit. You should consider integrating such AI partners into your CI/CD pipelines to automatically address common bugs, reducing manual intervention and accelerating development cycles. Always run these autonomous actions within a secure sandbox environment to mitigate potential risks before deployment.

Key insights

AI-driven tools can autonomously analyze, fix, test, and commit code changes for software defects.

Principles

• Automate issue resolution from analysis to commit.
• Integrate AI into existing SDLC workflows.
• Prioritize testing for AI-generated fixes.

Method

IBM Bob analyzes a reported issue, creates a fix plan, modifies code, generates new tests if needed, runs all tests, and commits changes, all within a sandboxed environment.

In practice

• Use `bob --yolo --sandbox` for autonomous fixes.
• Integrate Bob Shell with GitHub actions for automated PRs.
• Ensure sandbox isolation for AI-driven code changes.

Topics

• IBM Bob
• AI SDLC
• Automated Bug Fixing
• DevOps Automation
• AI Code Generation

Code references

• Max-Jesch/galaxium-travels-booking-system

Best for: Software Engineer, MLOps Engineer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Niklas Heidloff.