AI coding agent guides

Topics

• AI coding basics

  AI coding agent guides and tutorials

  • Agent setup
  • Agent prompting
  • Agent testing
• Agent tooling and MCP

  Building with AI coding agents: tools and integrations

  • Model Context Protocol
  • Agent tool integration
  • Tool schema versioning
  • Tool call testing
  • Agent security
• AI code review and quality

  Code review and quality control for AI-written code

  • Agent diff review
  • Test integrity
  • LLM judges
  • Merge gates
  • Agent rollback
• Agent testing and verification

  Testing and verification for AI coding agents

  • Acceptance checks
  • Mutation testing
  • Test fixtures
  • Flaky tests
  • Codebase analysis
• Agent cost and budgeting

  Cost and budget control for AI coding agents

  • Cost estimation
  • Agent budgeting
  • Spend tracking
  • Cost optimization
  • Budget overruns
• Agent security and access

  Security and access control for AI coding agents

  • Agent permissions
  • Agent misbehavior
  • Audit logging
  • Agent sandboxing
  • Agent secrets
• Context and knowledge for agents

  Context and knowledge management for coding agents

  • Context files
  • Context budgets
  • Agent retrieval
  • Context versioning
  • Agent skills
• Agent orchestration

  Advanced AI coding agent orchestration

  • Multi-agent coordination
  • Task queues
  • Approval workflows
  • Agent stopping rules
  • Skill routing
• Agent reliability

  AI coding agent performance and reliability

  • Tool call errors
  • Structured output
  • Test tampering
  • Reviewer calibration
  • Dependency reliability