Executor de loop de coding agentic

Preencher este prompt

Executa um loop de coding agentic em que a tarefa, o método de verificação e o critério de conclusão são selecionados independentemente, iterando até que a verificação externa passe.

Modelo de prompt

Execute the following task as an agentic loop. Do not ask for confirmation between iterations.

### TASK
Perform this action: {{Action: # Implement, Implement a new feature, Implement a missing function body, Write unit tests for existing code, # Fix, *Fix a failing test or bug, Fix all compiler warnings, Resolve linter violations, # Improve, Refactor without changing behavior, Optimize a slow code path, Migrate code to a newer API or framework version, Add missing error handling}}

### CONTEXT
{{Project Context: if used in an AI agent use the current project}}

### LOOP STRUCTURE
Repeat the following cycle:
1. ACT: Apply the smallest meaningful change toward the task.
2. VERIFY: Check the result using this method: {{Verification: # Automated, *Run the test suite, Compile or build the project, Run the linter and static analysis, Execute the script or program and inspect the output, Validate output against a schema or contract, # Manual proxy, Run a single reproduction case, Compare behavior before and after the change, Measure performance with a benchmark, Diff the output against a known-good reference}}
3. FEED BACK: If verification fails, take the raw error output (stack trace, test report, compiler message) unmodified into the next iteration. Do not summarize or interpret it before acting on it.

### COMPLETION CRITERION
Stop the loop only when this condition is met: {{Done When: *All tests pass with zero failures, Build succeeds with zero warnings, Linter reports zero violations, Program runs without exceptions on the given input, Output validates against the schema, Benchmark meets the target threshold, Reproduction case no longer fails, Behavior is identical before and after refactoring, All new code paths are covered by tests}}

### SAFEGUARDS
- Maximum {{Max Iterations:5}} iterations. If the limit is reached without success, stop and report the last error, what was attempted, and a hypothesis for the root cause.
- If the same error occurs in two consecutive iterations, stop immediately and report the stall instead of retrying.
- Touch only files required by the task.

### ADDITIONAL INFORMATION:
{{ Additional Information: none }}

After completion, summarize in 3 short bullet points: what was changed, how it was verified, and how many iterations were needed.

Guia do prompt

Ideal para

  • Começar a partir de um prompt estruturado e reutilizável em vez de um chat em branco.
  • Adaptar o prompt aos seus próprios dados, mantendo intacta a intenção original.
  • Fluxos de trabalho relacionados com Software Development, Debug & Testing.

Como usar

  1. Copie o modelo de prompt completo.
  2. Substitua cada variável pelo seu próprio contexto ou escolha uma das opções sugeridas.
  3. Cole o prompt concluído no ChatGPT, Claude, Gemini ou outro assistente de IA.

Variáveis neste prompt

Action

# Implement, Implement a new feature, Implement a missing function body, Write unit tests for existing code, # Fix, Fix a failing test or bug, Fix all compiler warnings, Resolve linter violations

Project Context

if used in an AI agent use the current project

Verification

# Automated, Run the test suite, Compile or build the project, Run the linter and static analysis, Execute the script or program and inspect the output, Validate output against a schema or contract, # Manual proxy, Run a single reproduction case

Done When

All tests pass with zero failures, Build succeeds with zero warnings, Linter reports zero violations, Program runs without exceptions on the given input, Output validates against the schema, Benchmark meets the target threshold, Reproduction case no longer fails, Behavior is identical before and after refactoring

Max Iterations

5

Additional Information

none

Exemplo de ponto de partida

Execute the following task as an agentic loop. Do not ask for confirmation between iterations.

### TASK
Perform this action: # Implement

### CONTEXT
if used in an AI agent use the current project

### LOOP STRUCTURE
Repeat the following cycle:
1. ACT: Apply the smallest meaningful change toward the task.
2. VERIFY: Check the result using this method: # Automated
3. FEED BACK: If verification fails, take the raw error output (stack trace, test report, compiler message) unmodified into the next iteration. Do not summarize or interpret it before acting on it.

### COMPLETION CRITERION
Stop the loop only when this condition is met: All tests pass with zero failures

### SAFEGUARDS
- Maximum 5 iterations. If the limit is reached without success, stop and report the last error, what was attempted, and a hypothesis for the root cause.
- If the same error occurs in two consecutive iterations...

Como funcionam as variáveis

Sintaxe das variáveis

As variáveis ficam entre {{ e }} e seguem este padrão:

{{variable name: option1, option2, option3 }}

Variáveis predefinidas

Uma seleção pode fazer referência a uma lista de variáveis predefinida usando colchetes. Aparecem em [laranja] e fornecem valores comuns, como cores, tons ou idiomas.

{{Tone: [tones] }}

Listas de seleção personalizadas

Também pode fornecer uma lista de opções em linha, separadas por vírgulas.

{{Format: bullet points, paragraphs, numbered list }}
💡

Dica: não precisa da app PUCO para usar estes prompts! Basta copiar o modelo e substituir cada secção {{…}} pelo seu próprio texto diretamente no ChatGPT, Claude, Gemini ou qualquer outro assistente de IA.

Use este prompt em segundos — não em minutos

Instale o PUCO para Mac: prima um atalho em qualquer app, preencha um formulário inteligente, cole no ChatGPT, Claude ou Gemini. Cada variável torna-se um menu suspenso selecionado. Os seus últimos valores são guardados.

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