Run Log 001: First End-to-End Test

Date: 2026-02-16
Goal: Run Agent Smith against itself - have it read a GitHub Issue from its own repo and generate code changes.
Result: Pipeline reached Agentic Execution (step 7/9), successfully called Claude with tools before hitting API rate limit.

---

1. Setup

1.1 Push to GitHub

The repo had 5 phase commits locally but the GitHub remote was empty.

$ git push origin main

Enumerating objects: 196, done.
...
To https://github.com/holgerleichsenring/agent-smith.git
 * [new branch]      main -> main

1.2 Create Test Issue

Created GitHub Issue #1 as a test ticket for Agent Smith to work on:

$ gh issue create \
  --title "Add a README.md with project description" \
  --body "Create a README.md file for the Agent Smith project. It should include:
- Project name and short description (AI coding agent that processes tickets and generates code changes)
- How it works (ticket -> code analysis -> plan -> agentic execution -> PR)
- Prerequisites (.NET 8, API keys)
- Quick start / usage example
- Project structure overview
- License placeholder

Keep it concise and professional."

Creating issue in holgerleichsenring/agent-smith
https://github.com/holgerleichsenring/agent-smith/issues/1

1.3 Update Configuration

Changed config/agentsmith.yml to point at the agent-smith repo itself, using GitHub for both tickets and source:

projects:
  agent-smith:
    source:
      type: GitHub
      url: https://github.com/holgerleichsenring/agent-smith
      auth: token
    tickets:
      type: GitHub
      url: https://github.com/holgerleichsenring/agent-smith
      auth: token
    agent:
      type: Claude
      model: claude-sonnet-4-20250514
    pipeline: fix-bug
    coding_principles_path: ./config/coding-principles.md

1.4 Environment Variables

export ANTHROPIC_API_KEY="sk-ant-api03-..."
export GITHUB_TOKEN=$(gh auth token)

---

2. Dry Run

First a dry run to verify intent parsing and config resolution:

$ dotnet run --project src/AgentSmith.Cli -- --dry-run "fix #1 in agent-smith"

info: AgentSmith.Application.Services.RegexIntentParser[0]
      Parsed intent: Ticket=1, Project=agent-smith
Dry run - would execute:
  Project:  agent-smith
  Ticket:   #1
  Pipeline: fix-bug
  Commands:
    - FetchTicketCommand
    - CheckoutSourceCommand
    - LoadCodingPrinciplesCommand
    - AnalyzeCodeCommand
    - GeneratePlanCommand
    - ApprovalCommand
    - AgenticExecuteCommand
    - TestCommand
    - CommitAndPRCommand

Input "fix #1 in agent-smith" correctly parsed to TicketId=1, Project=agent-smith. All 9 pipeline commands resolved.

---

3. First Real Run - JSON Parse Error

$ dotnet run --project src/AgentSmith.Cli -- --verbose "fix #1 in agent-smith"

What worked (steps 1-4):

[1/9] FetchTicketCommand    -> Ticket 1 fetched from GitHub
[2/9] CheckoutSourceCommand -> Cloning to /tmp/agentsmith/holgerleichsenring/agent-smith
                               Checked out branch fix/1
[3/9] LoadCodingPrinciplesCommand -> Loaded coding principles (3524 chars)
[4/9] AnalyzeCodeCommand    -> Code analysis completed: 129 files found

Where it failed (step 5):

[5/9] GeneratePlanCommand
fail: Handler GeneratePlanContext failed
      AgentSmith.Domain.Exceptions.ProviderException: Failed to parse plan response from Claude:
      '`' is an invalid start of a value. LineNumber: 0 | BytePositionInLine: 0.

Root Cause

Claude returned the JSON wrapped in a Markdown code block:

```json
{ "summary": "...", "steps": [...] }
```

The ParsePlan method tried to parse this raw string as JSON, but the leading backticks caused a JsonReaderException.

Fix

Added StripMarkdownCodeBlock() helper in ClaudeAgentProvider.cs:

private static string StripMarkdownCodeBlock(string text)
{
    var trimmed = text.Trim();
    if (trimmed.StartsWith("```"))
    {
        var firstNewline = trimmed.IndexOf('\n');
        if (firstNewline >= 0)
            trimmed = trimmed[(firstNewline + 1)..];
    }
    if (trimmed.EndsWith("```"))
    {
        trimmed = trimmed[..^3].TrimEnd();
    }
    return trimmed;
}

Called before JsonDocument.Parse() in ParsePlan().

---

4. Second Run - Approval Timeout

After the JSON fix, the pipeline advanced further:

[1/9] FetchTicketCommand    -> Ticket 1 fetched from GitHub
[2/9] CheckoutSourceCommand -> Checked out branch fix/1
[3/9] LoadCodingPrinciplesCommand -> Loaded coding principles (3524 chars)
[4/9] AnalyzeCodeCommand    -> 129 files found
[5/9] GeneratePlanCommand   -> Plan generated with 1 steps:
      "Create a comprehensive README.md file for the Agent Smith project"
[6/9] ApprovalCommand       -> Plan summary displayed, waiting for input...
      Approve this plan? (y/n):

Problem

Running in a non-interactive shell context, Console.ReadLine() returned null, which the ApprovalHandler interpreted as rejection.

ApprovalContext failed: Plan rejected by user

Workaround

Piped "y" into stdin:

$ echo "y" | dotnet run --project src/AgentSmith.Cli -- --verbose "fix #1 in agent-smith"

---

5. Third Run - Agentic Execution (Rate Limited)

With auto-approve via pipe, the pipeline reached the agentic execution step:

[1/9] FetchTicketCommand    -> Ticket 1 fetched from GitHub
[2/9] CheckoutSourceCommand -> Cloning to /tmp/agentsmith/holgerleichsenring/agent-smith
                               Checked out branch fix/1
[3/9] LoadCodingPrinciplesCommand -> Loaded coding principles (3524 chars)
[4/9] AnalyzeCodeCommand    -> 129 files found
[5/9] GeneratePlanCommand   -> Plan: "Create a comprehensive README.md file at the
                               project root with project description, architecture
                               overview, prerequisites, usage instructions, and
                               project structure." (1 step)
[6/9] ApprovalCommand       -> Plan approved by user
[7/9] AgenticExecuteCommand -> Agentic loop started...

The Agentic Loop in Action

Claude started working autonomously with tools:

dbug: Agentic loop iteration 1 -> Executing tool: list_files
dbug: Agentic loop iteration 2 -> Executing tool: read_file
dbug: Agentic loop iteration 3 -> Executing tool: read_file
dbug: Agentic loop iteration 4 -> Executing tool: read_file
dbug: Agentic loop iteration 5 -> Executing tool: read_file
dbug: Agentic loop iteration 6 -> RATE LIMITED

Claude was reading the project files to understand the codebase before writing the README. It listed files, then read several key files (likely Program.cs, config files, project structure) to gather information.

Rate Limit Error

Anthropic.SDK.RateLimitsExceeded: This request would exceed your organization's
rate limit of 30,000 input tokens per minute
(org: f8326d03-d8cc-41ee-8c5a-68185a0ace38, model: claude-sonnet-4-20250514)

Each iteration of the agentic loop sends the full conversation history + tool results. After 5 iterations of reading files from a 129-file codebase, the accumulated token count exceeded the per-minute rate limit.

---

6. The Recursive Beauty

Agent Smith was working on itself:

1. Read a GitHub Issue from its own repo
2. Cloned its own source code into a temp directory
3. Analyzed its own architecture (129 files, .NET 8, Clean Architecture)
4. Asked Claude to create a plan about itself
5. Claude started reading its own files to write a README about itself

Peak recursion. The AI coding agent's first task was to document itself.

---

7. Issues Found & Fixed

#	Issue	Root Cause	Fix
1	JSON parse error on plan response	Claude wraps JSON in markdown code blocks	StripMarkdownCodeBlock() strips ```json ... ``` wrapping
2	Approval rejected in non-interactive mode	Console.ReadLine() returns null	Piped "y" via stdin; future: add --auto-approve flag
3	Rate limit during agentic loop	30k tokens/min limit, conversation grows with each tool call	Need retry logic with exponential backoff

---

8. Next Steps

• [ ] Add retry logic with exponential backoff in AgenticLoop for rate limit errors
• [ ] Add --auto-approve CLI flag to skip the interactive approval step
• [ ] Re-run after rate limit cooldown to complete the full 9-step pipeline
• [ ] Verify the PR creation on GitHub (steps 8-9: Test + CommitAndPR)