Best For
- Starting from a structured, reusable prompt instead of a blank chat.
- Adapting the prompt to your own inputs while keeping the original intent intact.
- Workflows related to Software Development, Debug & Testing.
Agentic Coding Loop Runner
Fill this promptRuns an agentic coding loop where the task, the verification method, and the completion criterion are selected independently, iterating until the external check passes.
Prompt Template
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.
Prompt Guide
How To Use It
- Copy the full prompt template.
- Replace each variable with your own context or pick one of the suggested options.
- Paste the completed prompt into ChatGPT, Claude, Gemini, or another AI assistant.
Variables In This 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
Example Starting Point
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...
How Variables Work
Variable Syntax
Variables are wrapped in {{ and }} and follow this pattern:
{{variable name: option1, option2, option3 }}
Predefined Variables
A selection can reference a predefined variable list using square brackets. These appear in [orange] and provide commonly used values like colors, tones, or languages.
{{Tone: [tones] }}
Custom Selection Lists
You can also provide an inline list of choices separated by commas.
{{Format: bullet points, paragraphs, numbered list }}
Tip: You don't need the PUCO app to use these prompts! Simply copy the template and replace each {{…}} section with your own text directly in ChatGPT, Claude, Gemini, or any other AI assistant.