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Anti-Patterns to Avoid

The "Everything Platform"

  • Trying to solve every possible use case
  • Creating a monolithic platform that's difficult to maintain
  • Ignoring the "thinnest viable platform" principle

Strategy & Product Thinking Gaps

  • Building custom solutions when good commercial or mature OSS options exist
  • Not investing enough in integration and user experience
  • Creating vendor lock-in without clear benefits
  • Treating the platform as a cost center rather than a product
  • Not measuring and optimizing for developer experience
  • Insufficient investment in documentation and support
  • Not capturing the ROI of the platform

Over-Engineering

  • Building complex solutions for simple problems
  • Creating too many options that overwhelm users
  • Optimizing for edge cases at the expense of common use cases

Developer Experience Gaps

  • Focusing only on functionality without considering usability
  • Poor error messages and debugging experiences
  • Inconsistent interfaces across different platform components
  • Assuming self-service means no documentation needed
  • Technical documentation that doesn't match user mental models
  • Missing examples and common troubleshooting scenarios

Cognitive Load Pitfalls

  • Tool proliferation: Adding new tools without removing old ones
  • Inconsistent abstractions: Different mental models for similar concepts
  • Over-configuration: Requiring teams to make too many technical decisions
  • Over-abstraction: Hiding so much complexity that debugging becomes impossible
  • Rigid constraints: Preventing teams from handling legitimate edge cases
  • Magic behavior: Platform actions that are not transparent or predictable

Technology-First Thinking

  • Solution looking for problem: Building features without clear user need
  • Technology bias: Choosing tools based on team preferences rather than user needs
  • Feature creep: Adding capabilities without considering maintenance burden

Insufficient User Focus

  • Assumption-driven development: Building based on what platform team thinks users need
  • Lack of user research: Not investing in understanding actual user workflows
  • Poor feedback loops: No systematic way to collect and act on user input
  • Ivory tower syndrome: Platform team disconnected from day-to-day developer experience

Operational Neglect

  • Launch and abandon: Not investing in ongoing support and evolution
  • No SLOs: Lack of clear commitments to platform reliability and performance
  • Reactive support: Only addressing issues after they become critical