Cutting Claude Code Token Cost in Large Codebases
Prompt caching, batching, and context discipline that keep Claude Code runs cheap and fast on large codebases without sacrificing agentic work quality.
7 min read
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Debugging Claude agents: loops, bad tool calls, hallucinated args (Founders Playbook AI Native Startup)
Diagnose the three big Claude agent failure modes — loops, wrong tool calls, and hallucinated args — with reproducible traces and boundary validation.
8 min read
Debugging Claude Code in Large Codebases: Failure Modes
Why Claude Code loops, picks the wrong tool, or hallucinates arguments in large codebases — plus the concrete fixes that get agentic runs back on track.
8 min read
Context Design for Claude Code in Large Codebases
What to put in Claude Code's context and what to leave out in large codebases: memory tiers, retrieve over paste, attention budgeting, and the dilution trap.
7 min read
Prompt and context design for Claude agents that work (Founders Playbook AI Native Startup)
What to put in a Claude agent's context, what to leave out, and why — a founder's guide to context design that makes agents reliable, not flaky.
7 min read
Wiring MCP servers into a Claude agent the right way
Production patterns for connecting MCP servers to Claude: auth, schemas, error handling, and idempotency — the wiring that keeps agents reliable.
7 min read
Wiring MCP Servers Into Claude Code the Right Way (Claude Code Large Codebases)
Connect MCP servers to Claude Code safely in large repos: scoped auth, constraining schemas, recoverable errors, and idempotency that survives retries.
7 min read
Claude Code Patterns for Big Codebases That Scale
Reusable patterns for Claude Code in large repos: spec-shaped prompts, plan gates, tool scoping, packaged context, and self-verifying loops that scale.
7 min read
Reusable Claude agent patterns: prompts, tools, context
Code-level patterns for prompts, tools, and context in Claude agents — reusable building blocks AI-native founders copy across every product.
7 min read
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