mirror of
https://github.com/github/awesome-copilot.git
synced 2026-02-24 04:15:14 +00:00
Merge pull request #696 from tonybaloney/cookbook/ralph-loop-recipe
Add RALPH-loop recipes to Copilot SDK cookbook
This commit is contained in:
296
cookbook/copilot-sdk/go/ralph-loop.md
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296
cookbook/copilot-sdk/go/ralph-loop.md
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# Ralph Loop: Autonomous AI Task Loops
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Build autonomous coding loops where an AI agent picks tasks, implements them, validates against backpressure (tests, builds), commits, and repeats — each iteration in a fresh context window.
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> **Runnable example:** [recipe/ralph-loop.go](recipe/ralph-loop.go)
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>
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> ```bash
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> cd go
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> go run recipe/ralph-loop.go
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> ```
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## What is a Ralph Loop?
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A [Ralph loop](https://ghuntley.com/ralph/) is an autonomous development workflow where an AI agent iterates through tasks in isolated context windows. The key insight: **state lives on disk, not in the model's context**. Each iteration starts fresh, reads the current state from files, does one task, writes results back to disk, and exits.
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```
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┌─────────────────────────────────────────────────┐
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│ loop.sh │
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│ while true: │
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│ ┌─────────────────────────────────────────┐ │
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│ │ Fresh session (isolated context) │ │
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│ │ │ │
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│ │ 1. Read PROMPT.md + AGENTS.md │ │
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│ │ 2. Study specs/* and code │ │
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│ │ 3. Pick next task from plan │ │
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│ │ 4. Implement + run tests │ │
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│ │ 5. Update plan, commit, exit │ │
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│ └─────────────────────────────────────────┘ │
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│ ↻ next iteration (fresh context) │
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└─────────────────────────────────────────────────┘
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```
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**Core principles:**
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- **Fresh context per iteration**: Each loop creates a new session — no context accumulation, always in the "smart zone"
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- **Disk as shared state**: `IMPLEMENTATION_PLAN.md` persists between iterations and acts as the coordination mechanism
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- **Backpressure steers quality**: Tests, builds, and lints reject bad work — the agent must fix issues before committing
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- **Two modes**: PLANNING (gap analysis → generate plan) and BUILDING (implement from plan)
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## Simple Version
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The minimal Ralph loop — the SDK equivalent of `while :; do cat PROMPT.md | copilot ; done`:
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```go
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package main
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import (
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"context"
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"fmt"
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"log"
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"os"
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copilot "github.com/github/copilot-sdk/go"
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)
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func ralphLoop(ctx context.Context, promptFile string, maxIterations int) error {
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client := copilot.NewClient(nil)
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if err := client.Start(ctx); err != nil {
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return err
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}
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defer client.Stop()
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prompt, err := os.ReadFile(promptFile)
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if err != nil {
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return err
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}
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for i := 1; i <= maxIterations; i++ {
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fmt.Printf("\n=== Iteration %d/%d ===\n", i, maxIterations)
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// Fresh session each iteration — context isolation is the point
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session, err := client.CreateSession(ctx, &copilot.SessionConfig{
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Model: "gpt-5.1-codex-mini",
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})
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if err != nil {
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return err
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}
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_, err = session.SendAndWait(ctx, copilot.MessageOptions{
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Prompt: string(prompt),
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})
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session.Destroy()
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if err != nil {
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return err
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}
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fmt.Printf("Iteration %d complete.\n", i)
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}
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return nil
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}
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func main() {
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if err := ralphLoop(context.Background(), "PROMPT.md", 20); err != nil {
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log.Fatal(err)
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}
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}
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```
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This is all you need to get started. The prompt file tells the agent what to do; the agent reads project files, does work, commits, and exits. The loop restarts with a clean slate.
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## Ideal Version
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The full Ralph pattern with planning and building modes, matching the [Ralph Playbook](https://github.com/ClaytonFarr/ralph-playbook) architecture:
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```go
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package main
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import (
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"context"
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"fmt"
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"log"
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"os"
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"strconv"
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"strings"
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copilot "github.com/github/copilot-sdk/go"
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)
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func ralphLoop(ctx context.Context, mode string, maxIterations int) error {
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promptFile := "PROMPT_build.md"
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if mode == "plan" {
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promptFile = "PROMPT_plan.md"
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}
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client := copilot.NewClient(nil)
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if err := client.Start(ctx); err != nil {
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return err
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}
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defer client.Stop()
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cwd, _ := os.Getwd()
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fmt.Println(strings.Repeat("━", 40))
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fmt.Printf("Mode: %s\n", mode)
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fmt.Printf("Prompt: %s\n", promptFile)
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fmt.Printf("Max: %d iterations\n", maxIterations)
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fmt.Println(strings.Repeat("━", 40))
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prompt, err := os.ReadFile(promptFile)
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if err != nil {
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return err
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}
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for i := 1; i <= maxIterations; i++ {
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fmt.Printf("\n=== Iteration %d/%d ===\n", i, maxIterations)
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session, err := client.CreateSession(ctx, &copilot.SessionConfig{
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Model: "gpt-5.1-codex-mini",
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WorkingDirectory: cwd,
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OnPermissionRequest: func(_ copilot.PermissionRequest, _ map[string]string) copilot.PermissionRequestResult {
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return copilot.PermissionRequestResult{Kind: "approved"}
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},
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})
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if err != nil {
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return err
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}
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// Log tool usage for visibility
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session.On(func(event copilot.Event) {
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if toolExecution, ok := event.(copilot.ToolExecutionStartEvent); ok {
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fmt.Printf(" ⚙ %s\n", toolExecution.Data.ToolName)
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}
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})
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_, err = session.SendAndWait(ctx, copilot.MessageOptions{
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Prompt: string(prompt),
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})
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session.Destroy()
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if err != nil {
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return err
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}
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fmt.Printf("\nIteration %d complete.\n", i)
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}
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fmt.Printf("\nReached max iterations: %d\n", maxIterations)
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return nil
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}
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func main() {
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mode := "build"
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maxIterations := 50
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for _, arg := range os.Args[1:] {
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if arg == "plan" {
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mode = "plan"
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} else if n, err := strconv.Atoi(arg); err == nil {
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maxIterations = n
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}
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}
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if err := ralphLoop(context.Background(), mode, maxIterations); err != nil {
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log.Fatal(err)
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}
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}
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```
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### Required Project Files
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The ideal version expects this file structure in your project:
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```
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project-root/
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├── PROMPT_plan.md # Planning mode instructions
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├── PROMPT_build.md # Building mode instructions
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├── AGENTS.md # Operational guide (build/test commands)
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├── IMPLEMENTATION_PLAN.md # Task list (generated by planning mode)
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├── specs/ # Requirement specs (one per topic)
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│ ├── auth.md
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│ └── data-pipeline.md
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└── src/ # Your source code
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```
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### Example `PROMPT_plan.md`
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```markdown
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0a. Study `specs/*` to learn the application specifications.
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0b. Study IMPLEMENTATION_PLAN.md (if present) to understand the plan so far.
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0c. Study `src/` to understand existing code and shared utilities.
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1. Compare specs against code (gap analysis). Create or update
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IMPLEMENTATION_PLAN.md as a prioritized bullet-point list of tasks
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yet to be implemented. Do NOT implement anything.
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IMPORTANT: Do NOT assume functionality is missing — search the
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codebase first to confirm. Prefer updating existing utilities over
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creating ad-hoc copies.
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```
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### Example `PROMPT_build.md`
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```markdown
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0a. Study `specs/*` to learn the application specifications.
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0b. Study IMPLEMENTATION_PLAN.md.
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0c. Study `src/` for reference.
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1. Choose the most important item from IMPLEMENTATION_PLAN.md. Before
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making changes, search the codebase (don't assume not implemented).
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2. After implementing, run the tests. If functionality is missing, add it.
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3. When you discover issues, update IMPLEMENTATION_PLAN.md immediately.
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4. When tests pass, update IMPLEMENTATION_PLAN.md, then `git add -A`
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then `git commit` with a descriptive message.
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5. When authoring documentation, capture the why.
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6. Implement completely. No placeholders or stubs.
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7. Keep IMPLEMENTATION_PLAN.md current — future iterations depend on it.
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```
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### Example `AGENTS.md`
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Keep this brief (~60 lines). It's loaded every iteration, so bloat wastes context.
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```markdown
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## Build & Run
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go build ./...
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## Validation
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- Tests: `go test ./...`
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- Vet: `go vet ./...`
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```
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## Best Practices
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1. **Fresh context per iteration**: Never accumulate context across iterations — that's the whole point
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2. **Disk is your database**: `IMPLEMENTATION_PLAN.md` is shared state between isolated sessions
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3. **Backpressure is essential**: Tests, builds, lints in `AGENTS.md` — the agent must pass them before committing
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4. **Start with PLANNING mode**: Generate the plan first, then switch to BUILDING
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5. **Observe and tune**: Watch early iterations, add guardrails to prompts when the agent fails in specific ways
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6. **The plan is disposable**: If the agent goes off track, delete `IMPLEMENTATION_PLAN.md` and re-plan
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7. **Keep `AGENTS.md` brief**: It's loaded every iteration — operational info only, no progress notes
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8. **Use a sandbox**: The agent runs autonomously with full tool access — isolate it
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9. **Set `WorkingDirectory`**: Pin the session to your project root so tool operations resolve paths correctly
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10. **Auto-approve permissions**: Use `OnPermissionRequest` to allow tool calls without interrupting the loop
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## When to Use a Ralph Loop
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**Good for:**
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- Implementing features from specs with test-driven validation
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- Large refactors broken into many small tasks
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- Unattended, long-running development with clear requirements
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- Any work where backpressure (tests/builds) can verify correctness
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**Not good for:**
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- Tasks requiring human judgment mid-loop
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- One-shot operations that don't benefit from iteration
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- Vague requirements without testable acceptance criteria
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- Exploratory prototyping where direction isn't clear
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## See Also
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- [Error Handling](error-handling.md) — timeout patterns and graceful shutdown for long-running sessions
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- [Persisting Sessions](persisting-sessions.md) — save and resume sessions across restarts
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111
cookbook/copilot-sdk/go/recipe/ralph-loop.go
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111
cookbook/copilot-sdk/go/recipe/ralph-loop.go
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@@ -0,0 +1,111 @@
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package main
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import (
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"context"
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"fmt"
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"log"
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"os"
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"strconv"
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"strings"
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copilot "github.com/github/copilot-sdk/go"
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)
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// Ralph loop: autonomous AI task loop with fresh context per iteration.
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//
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// Two modes:
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// - "plan": reads PROMPT_plan.md, generates/updates IMPLEMENTATION_PLAN.md
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// - "build": reads PROMPT_build.md, implements tasks, runs tests, commits
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//
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// Each iteration creates a fresh session so the agent always operates in
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// the "smart zone" of its context window. State is shared between
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// iterations via files on disk (IMPLEMENTATION_PLAN.md, AGENTS.md, specs/*).
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//
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// Usage:
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// go run ralph-loop.go # build mode, 50 iterations
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// go run ralph-loop.go plan # planning mode
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// go run ralph-loop.go 20 # build mode, 20 iterations
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// go run ralph-loop.go plan 5 # planning mode, 5 iterations
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func ralphLoop(ctx context.Context, mode string, maxIterations int) error {
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promptFile := "PROMPT_build.md"
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if mode == "plan" {
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promptFile = "PROMPT_plan.md"
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}
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client := copilot.NewClient(nil)
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if err := client.Start(ctx); err != nil {
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return fmt.Errorf("failed to start client: %w", err)
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}
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defer client.Stop()
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cwd, err := os.Getwd()
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if err != nil {
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return fmt.Errorf("failed to get working directory: %w", err)
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}
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fmt.Println(strings.Repeat("━", 40))
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fmt.Printf("Mode: %s\n", mode)
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fmt.Printf("Prompt: %s\n", promptFile)
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fmt.Printf("Max: %d iterations\n", maxIterations)
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fmt.Println(strings.Repeat("━", 40))
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prompt, err := os.ReadFile(promptFile)
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if err != nil {
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return fmt.Errorf("failed to read %s: %w", promptFile, err)
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}
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for i := 1; i <= maxIterations; i++ {
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fmt.Printf("\n=== Iteration %d/%d ===\n", i, maxIterations)
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session, err := client.CreateSession(ctx, &copilot.SessionConfig{
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Model: "gpt-5.1-codex-mini",
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WorkingDirectory: cwd,
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OnPermissionRequest: func(_ copilot.PermissionRequest, _ map[string]string) copilot.PermissionRequestResult {
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return copilot.PermissionRequestResult{Kind: "approved"}
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},
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})
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if err != nil {
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return fmt.Errorf("failed to create session: %w", err)
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}
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// Log tool usage for visibility
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session.On(func(event copilot.Event) {
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if toolExecution, ok := event.(copilot.ToolExecutionStartEvent); ok {
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fmt.Printf(" ⚙ %s\n", toolExecution.Data.ToolName)
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}
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})
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_, err = session.SendAndWait(ctx, copilot.MessageOptions{
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Prompt: string(prompt),
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})
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if destroyErr := session.Destroy(); destroyErr != nil {
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log.Printf("failed to destroy session on iteration %d: %v", i, destroyErr)
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}
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if err != nil {
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return fmt.Errorf("send failed on iteration %d: %w", i, err)
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}
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fmt.Printf("\nIteration %d complete.\n", i)
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}
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fmt.Printf("\nReached max iterations: %d\n", maxIterations)
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return nil
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}
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func main() {
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mode := "build"
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maxIterations := 50
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for _, arg := range os.Args[1:] {
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if arg == "plan" {
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mode = "plan"
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} else if n, err := strconv.Atoi(arg); err == nil {
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maxIterations = n
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}
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}
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if err := ralphLoop(context.Background(), mode, maxIterations); err != nil {
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log.Fatal(err)
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}
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}
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Reference in New Issue
Block a user