rerec-agent-development-release-engineering

name	rerec-agent-development-release-engineering
title	AgentDevel: Reframing Self-Evolving LLM Agents as Release Engineering
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.04620
keywords	["LLM Agents","Self-Improvement","Release Engineering","Quality Assurance"]
description	Apply software release engineering practices to self-improving LLM agents to achieve stable evolution. AgentDevel uses implementation-blind critique, executable diagnosis, and flip-centered gating to prevent regression while enabling auditable improvement trajectories.

When to Use This Skill

• Building self-improving LLM agents for production deployment
• Scenarios requiring auditability and non-regression guarantees
• Multi-turn agents where failure modes must be preventable
• Systems needing transparent improvement tracking
• Continuous evolution with stability requirements

When NOT to Use This Skill

• One-time agent optimization (release engineering overhead unnecessary)
• Experiments requiring rapid iteration
• Scenarios where regression risk is acceptable

Problem Summary

Current self-improving LLM agents suffer from instability and lack auditability. Improvement trajectories are difficult to track, causing regression into previously-fixed failure modes. Practitioners cannot easily identify what causes improvements or verify that fixes remain stable. This creates risk in deployed agents where stability is critical.

Solution: Release Engineering Framework for Agents

Apply proven software engineering practices: implementation-blind critique, executable diagnosis, and flip-centered gating.

class AgentReleaseManager:
    def __init__(self, agent, test_suite):
        self.agent = agent
        self.test_suite = test_suite
        self.version_history = []

    def self_improvement_cycle(self, max_iterations=10):
        """Controlled agent evolution via release engineering"""

        current_version = self.snapshot_agent()
        self.version_history.append(current_version)

        for iteration in range(max_iterations):
            # Step 1: Implementation-blind failure detection
            failures = self.identify_failures(current_version)

            if not failures:
                print()
                

            
            diagnoses = []
             failure  failures:
                
                execution_trace = failure[]
                
                diagnosis = .diagnose_from_trace(execution_trace)
                diagnoses.append(diagnosis)

            
            patterns = .aggregate_patterns(diagnoses)

            
            improvements = .synthesize_improvements(patterns)

            
             improvement  improvements:
                new_version = .apply_improvement(current_version, improvement)

                
                regression_risk = .assess_regression_risk(
                    current_version, new_version
                )

                 regression_risk < REGRESSION_THRESHOLD:
                    
                    current_version = new_version
                    .version_history.append(current_version)
                    ()
                :
                    ()

         current_version

     ():
        
        failures = []

         test_case  .test_suite.get_execution_benchmarks():
            result = version.execute(test_case)

             result.failed:
                failures.append({
                    : test_case,
                    : result.execution_trace,
                    : result.error_message
                })

         failures

     ():
        
        
        failure_signature = {
            : execution_trace.get_failure_step(),
            : execution_trace.get_state_before_failure(),
            : execution_trace.get_action(),
            : execution_trace.get_outcome()
        }

         failure_signature

     ():
        
        regressions = 
        total_tests = (.test_suite)

         test  .test_suite:
            
            old_result = old_version.execute(test)
            new_result = new_version.execute(test)

            
             old_result.passed  new_result.failed:
                regressions += 

        regression_rate = regressions / total_tests
         regression_rate