SDLC Workflow: Expense Calculation Bug Fix

Hey everyone, let's dive into a real-world scenario where we're tackling a pesky bug in our expense-splitting feature. We're going to walk through the Software Development Life Cycle (SDLC) workflow, from identifying the error to deploying the fix. This isn't just about fixing code, it's about understanding the process.

The Bug: Division Error in Expense Calculation

First things first, let's address the elephant in the room: the bug. We've got a division error causing expenses to be split by five instead of the actual participant count. This means someone, somewhere, is getting charged incorrectly. Our goal is to fix the bug, make sure the participants' are charged correctly, and to prevent similar issues from popping up again. The issue was discovered by shubh2579 in the Expense-Splitter category. This means the problem lies within the component responsible for dividing expenses.

This is where our SDLC workflow kicks in. This isn't just a one-and-done fix; it's a well-defined process designed to ensure we fix the bug safely and efficiently. The workflow includes several agents, each playing a vital role in this operation. This SDLC Workflow is automatically managed by the Claude Code SDLC Orchestrator v2.0. So we'll see what's working under the hood. Let's get started with the different agents in the SDLC workflow! It's all about getting the fix right, fast and preventing the same mistake from happening again. By following this structured approach, we ensure that we not only solve the immediate problem but also enhance the overall stability and reliability of our system. In each step, we'll see the purpose, the status, and the expected output. Keep in mind that the SDLC workflow is a carefully planned process, and each step is like a piece of a puzzle that fits together to create a complete picture of quality and efficiency.

Workflow ID and Start Time

We're tracking this specific issue under the Workflow ID: bug_20250919_154857. This ID helps us keep everything organized and easy to follow. The process started on 2025-09-19 at 15:48:57.

This timestamp ensures everything is clear. The information will guide us during the process of fixing the bug.

📊 Workflow Progress

Let's break down how the agents work in this process. Each agent has a specific job, and the workflow ensures everything is smooth.

🔍 RCA Analysis Agent

First up, the RCA Analysis Agent. RCA (Root Cause Analysis) is like being a detective.

Purpose: It is designed to analyze the codebase to pinpoint the root cause of the bug and identify which files are affected. This agent digs deep, examining the code to figure out where things went wrong in the expense calculation.

Status: This agent is currently pending. This means it's waiting for its turn to start the analysis. The agent will comb through the codebase, trying to figure out what happened and where.

Expected Output: The expected output includes bug findings, affected files, and confidence scores. Once the RCA is complete, we will receive a report detailing the precise location of the division error, the files containing the faulty code, and a confidence level that assures the diagnosis. This output is vital for informing the next steps, providing a roadmap for our developers. It is important to understand the root cause so that the next steps can be started with the right information.

📋 Ticket Integration Agent

After the analysis, the Ticket Integration Agent takes charge. It’s all about getting the right information to the right people.

Purpose: This agent's goal is to create a tracking ticket and assign it to the development team. The agent will organize all the important information, making sure everyone knows what needs to be done. This is the agent who keeps everything tidy.

Status: Like the RCA agent, the Ticket Integration Agent is also pending, waiting to be activated. It waits for the RCA to finish its work.

Expected Output: When it's done, the Ticket Integration Agent will provide the ticket key, priority assignment, and sprint allocation. This information is used by the development team to start working on the fix and set priorities.

🛠️ Backend Developer Agent

Once the ticket is created and assigned, the Backend Developer Agent steps into action. This is where the code gets fixed.

Purpose: The Backend Developer Agent is responsible for implementing the code fixes based on the findings from the RCA. This agent knows how to fix the bug.

Status: Currently, this agent is also pending. It will wait for the RCA results and the ticket information before it gets to work. The developer is ready to start when the signals are there.

Expected Output: This agent will produce modified files, a new branch creation, and commit details. These represent the actual code changes required to resolve the division error. The developer will make changes and provide details.

👁️ Code Review Agent

Next, the Code Review Agent steps in. It's all about making sure the new code meets the quality standards. This is what ensures that the code is correct.

Purpose: The code review agent reviews the code changes for quality, security, and performance. The focus is on doing a great job.

Status: This agent is pending. It waits for the Backend Developer Agent to finish before beginning its work.

Expected Output: The Code Review Agent is expected to provide review approval, security scan results, and suggestions. This ensures that the solution doesn’t just fix the bug but also adheres to best practices and doesn't introduce any new issues.

🧪 Test Automation Agent

We then have the Test Automation Agent. This agent is all about checking that the changes work as expected.

Purpose: The Test Automation Agent executes a comprehensive test suite and generates coverage reports. The goal is to ensure that the fix works and doesn't break anything else.

Status: It is also in a pending state. It has to wait until the code changes are reviewed and approved before running tests.

Expected Output: The expected output includes test pass/fail counts, coverage percentage, and failed test details. These details give us confidence that the bug is resolved and no regressions are introduced.

🚀 GitHub Operations Agent

After testing comes the GitHub Operations Agent. It's about preparing the code for release.

Purpose: The agent's job is to create a pull request and configure auto-merge settings. It prepares the code for integration into the main branch.

Status: It is in pending state. It awaits the successful completion of tests.

Expected Output: The GitHub Operations Agent will provide the PR URL, branch details, and review assignments. This sets the stage for the final merge.

✅ Manual Review & Merge

Finally, there’s the Manual Review & Merge step. This is the human touch, ensuring everything is perfect before deployment.

Purpose: This step involves human review and merge approval for production deployment.

Status: It is pending, awaiting the go-ahead from the automated agents.

📋 Live Agent Updates

Real-time progress updates from each agent will appear below.

🤖 This issue is automatically managed by the Claude Code SDLC Orchestrator v2.0