“there's these Code with Claude events that are happening all over the world.”
Code with Claude
By Anthropic
0 recommend/use · 2 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“we have this Code with Cloud conference coming up and there's a few talks that I'm giving there.”
Related frameworks
Bad vs Sad Quality Tiers
Classify every failure as bad (irrecoverable) or sad (recoverable pain) so teams triage quality across many surfaces.
Build for the Current Model, Prototype for the Next
Elicit max capability from today's model while pre-building the products the next model will unlock
Clear-Goal Ambiguity Cut
Because general LLMs can do anything, a sharp key-user + problem + use-case triad is what rules approaches out
Fear-to-Agency Reframe
When AI change triggers fear, lean in and ask what's within your control — turn it happening to you into happening for you.
High Agency, High Accountability
Pair the freedom to solve problems your own way with clear ownership of the hypothesis and the outcome.
Just-in-Time Planning
Shrink long roadmaps to a lightweight monthly priority list and grant explicit permission to kill dead processes.
Latent Demand Mining
Watch for people jumping through hoops to make your product do something, then make that the smooth path.
Leader Dogfooding for Product Pulse
Live and breathe your product as a real user (or meet customers) and trust the anecdote over the dashboard.
Manager-as-IC Onboarding
New managers ship as individual contributors first — and keep doing it — before and while they manage people.
Manager Visibility via an Always-On Agent
Enlist a standing AI session across all repos and channels to stay on top of 8x throughput and drive conversations.
Mission-Above-Product Prioritization
Route every cross-org tradeoff through a single shared mission so decisions are fast and everyone stands behind them
Model Introspection Harness Repair
When an AI agent misbehaves, ask it why — its explanation reveals the harness gap to fix
Output-Toward-Outcome Measurement
Don't forsake motion for progress — keep asking whether the metric you climb still serves the outcome.
Ship-in-Research-Preview Speed Loop
Cut idea-to-user time from months to a week by branding launches as previews and pre-wiring the launch chain
Spec-as-What-Good-Looks-Like Verification
Check your definition of good into the repo so AI code review can automatically validate work against it.
The 100%-or-Nothing Automation Rule
An automation that works 95% of the time isn't an automation — push it to 100% or don't rely on it
Three-Legged Model Evaluation
Judge a model-harness combo with heavy usage, a trusted five-person taste panel, and ~10 sharp evals
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Related resources
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- Apple Podcasts
- ChatGPT
- Claude
- Claude Co-work
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- Claude Opus 4.6
- Claude Sonnet 4.6
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