HeyJaredClaude Code Cast
A weekly podcast covering everything Claude Code — from the latest Anthropic updates and AI coding news to practical tips, prompt strategies, and workflow optimization.
- Indexed episodes, last 90 days
- 9
- Latest publication
- Sep 11, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 3, 2026
Latest episodes
Claude Code's Cache Fixes: Check Before You Switch Models (opens the original)
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An expensive coding session can start with a broken cache, not a harder task. Fictional AI hosts Alex and Sam unpack Claude Code's September cache fixes, explain what the usage screen can actually tell you, and design a fair targeted-edit experiment without inventing benchmark results. Leave with a concrete way to separate wasted context from useful work.
OpenAI Cut Off Cursor. Five Days Later, Four Models Went Down. (opens the original)
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On August 29 OpenAI ended its Cursor partnership. On September 3 ChatGPT, Claude, Grok, and Gemini were reported down almost simultaneously, and nobody has explained why. Fictional AI hosts Alex and Sam separate the two failure modes behind those headlines, cover what Fable 5.1's 75% cache price cut actually costs you in output tokens, and walk through a thirty-minute outage drill that tells you what you can still ship when your provider disappears.
Same Model, 70x the Tokens—Your Harness Sets the Bill (opens the original)
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Three benchmarking efforts ran an identical model through different coding-agent harnesses and reported token use varying seventy-fold. Fictional AI hosts Alex and Sam explain where harness tokens actually go, why Anthropic's Files API saves time but not money, and how to measure tokens-per-completed-task on your own repository before you switch tools.
Your Coding Agent Passed the Benchmark—Then Failed the Refactor (opens the original)
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Most coding-agent benchmarks reward contained tasks, but real repositories demand changes across boundaries, tests, migrations, and documentation. Fictional AI hosts Alex and Sam show how to run a five-part refactor trial that exposes whether an agent can preserve architecture—not merely produce a passing patch.
Passing Tests Isn't Enough for Your Next Coding Agent (opens the original)
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Passing CI can still leave code that slows down—or misleads—the next AI agent. Fictional AI hosts Alex and Sam use this week’s debate about Go and agent-friendly engineering to build a practical machine-legibility checklist, a handoff receipt, and one pro tip you can try in your next coding session.
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