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Anti-Pattern Catalog

antipattern-catalog

Document technical debt, anti-patterns, and patterns to avoid from analyzed frameworks. Use when (1) creating a "Do Not Repeat" list from framework analysis, (2) categorizing observed code smells and issues, (3) assessing severity of architectural problems, (4) generating remediation suggestions,...

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SKILL.md

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Anti-Pattern Catalog

Documents technical debt and patterns to avoid.

Process

  1. Collect observations — Gather issues from Phase 1 & 2 analyses
  2. Categorize — Structural, behavioral, observability, performance
  3. Assess severity — Critical, major, minor, cosmetic
  4. Generate remediation — Suggest fixes for each pattern
  5. Create checklist — "Do Not Repeat" guidelines

Anti-Pattern Categories

Structural Anti-Patterns

Issues with code organization, inheritance, and modularity.

PatternSymptomExample
Deep Inheritance5+ levels of class hierarchyAgent → BaseAgent → RunnableAgent → ExecutableAgent → ...
God ClassOne class with 50+ methodsAgentExecutor doing routing, execution, memory, tools
Circular DependenciesModule A imports B, B imports Aagent.py ↔ tools.py
Leaky AbstractionImplementation details exposedBase class assumes specific LLM response format
Premature AbstractionOver-engineered for flexibility5 interfaces for a single implementation

Behavioral Anti-Patterns

Issues with runtime behavior and logic.

PatternSymptomExample
Hidden State MutationState changes not obvioustool.run() modifies agent's memory
Implicit ContractsUndocumented assumptionsTools assume specific message format
Silent FailuresErrors swallowedexcept: pass in tool execution
Infinite Loop RiskNo termination guaranteeNo step limit on agent loop
Race ConditionsConcurrent state accessShared dict without locks

Observability Anti-Patterns

Issues with debugging and monitoring.

PatternSymptomExample
Hidden LLM ResponseRaw response not accessibleToken counts unavailable
Opaque ErrorsGeneric error messages"Something went wrong"
No TracingCan't follow executionNo request IDs, no spans
Swallowed ContextInformation lostTool error not fed back to LLM
Missing MetricsNo performance dataNo latency, token, or cost tracking

Performance Anti-Patterns

Issues affecting speed and resource usage.

PatternSymptomExample
Sync in AsyncBlocking calls in async coderequests.get() in async function
N+1 QueriesRepeated similar operationsLoading each tool config separately
Unbounded MemoryHistory grows foreverNo eviction policy
Eager LoadingLoading unused resourcesAll tools initialized at startup
No CachingRepeated expensive operationsRe-parsing same schema each call

Severity Assessment

Critical (P0)

  • Security vulnerabilities
  • Data loss risk
  • Infinite loops without guards
  • Production outage risk

Major (P1)

  • Performance issues >2x slowdown
  • Poor error handling
  • Difficult to extend
  • Concurrency bugs

Minor (P2)

  • Code style issues
  • Minor inefficiencies
  • Documentation gaps
  • Inconsistent patterns

Cosmetic (P3)

  • Naming conventions
  • Formatting
  • Minor redundancy

Catalog Entry Template

### [Pattern Name]

**Category**: [Structural/​Behavioral/​Observability/​Performance]
**Severity**: [Critical/​Major/​Minor/​Cosmetic]
**Framework(s)**: [Where observed]

#### Description
[Brief explanation of the anti-pattern]

#### Example
[Code snippet showing the problem]

#### Impact
- [Impact 1]
- [Impact 2]

#### Remediation
[How to fix or avoid this pattern]

#### Code Example (Fixed)
[Corrected code snippet]

Common Anti-Patterns Deep Dive

Deep Inheritance Hell

Problem:

class Agent(BaseAgent):
    pass

class BaseAgent(RunnableAgent):
    pass

class RunnableAgent(ExecutableAgent):
    pass

class ExecutableAgent(ConfigurableAgent):
    pass

class ConfigurableAgent(LoggableAgent):
    pass

class LoggableAgent(ABC):
    pass

# 6 layers! Which method comes from where?

Remediation: Prefer composition over inheritance

class Agent:
    def __init__(
        self,
        executor: Executor,
        config: Config,
        logger: Logger
    ):
        self.executor = executor
        self.config = config
        self.logger = logger

Silent Tool Failures

Problem:

def run_tool(self, tool, args):
    try:
        return tool.execute(args)
    except Exception:
        return None  # Error lost forever!

Remediation: Capture and propagate errors

def run_tool(self, tool, args) -> ToolResult:
    try:
        output = tool.execute(args)
        return ToolResult(success=True, output=output)
    except Exception as e:
        return ToolResult(
            success=False,
            error=f"{type(e).__name__}: {e}",
            traceback=traceback.format_exc()
        )

Hidden LLM Response

Problem:

class LLMWrapper:
    def generate(self, prompt: str) -> str:
        response = self.client.chat(prompt)
        return response.content  # Token counts, model info lost!

Remediation: Expose full response

class LLMWrapper:
    def generate(self, prompt: str) -> LLMResponse:
        response = self.client.chat(prompt)
        return LLMResponse(
            content=response.content,
            model=response.model,
            usage=TokenUsage(
                prompt=response.usage.prompt_tokens,
                completion=response.usage.completion_tokens
            ),
            raw=response  # Always keep raw
        )

Output Template

# Anti-Pattern Catalog: [Analysis Name]

## Summary

| Severity | Count |
|----------|-------|
| Critical | 2 |
| Major | 5 |
| Minor | 8 |
| Cosmetic | 3 |

## Critical Issues

### 1. [Pattern Name]
[Full catalog entry]

### 2. [Pattern Name]
[Full catalog entry]

## Major Issues

### 1. [Pattern Name]
[Full catalog entry]

...

## Do Not Repeat Checklist

- [ ] Never use more than 3 levels of inheritance
- [ ] Always expose raw LLM response with token counts
- [ ] Never swallow exceptions without logging
- [ ] Always include step limits on agent loops
- [ ] Never mutate shared state without locks
- [ ] Always provide structured error feedback to LLM
...

Integration

  • Inputs from: All Phase 1 & 2 analysis skills
  • Feeds into: architecture-synthesis for design decisions
  • Related: comparative-matrix for pattern comparison

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