Claude Code Conversations with Claudine
Giving Claude Code a voice, so we can discuss best practices, risks, assumptions, etc,
Episodes
September 26, 2026 • 10 mins
Builders who string multiple Claude Code agents together usually hit the same wall. Each agent is capable, but the system as a whole forgets decisions, repeats mistakes, and drifts from the architecture between sessions. This episode argues that the model does not remember anything on its own. Memory in a multi-agent system comes from files, state, and handoff contracts, and the builder has to design all three on purpose.
Listen
Watch
Mark as Played
September 25, 2026 • 9 mins
AI-generated code handles failure as if it were a clean switch: the call either works or it throws, and a try/except with a fallback takes care of the rest. Real production failures are partial and slow. A timeout arrives after the write has already committed, or a retry fires a second webhook, or a half-refreshed token leaves the system in a state nobody designed for. Builders now ship AI-written error handling at scale, and that ...
Listen
Watch
Mark as Played
September 24, 2026 • 7 mins
AI-generated code almost always ships with error handling that looks responsible: try/except blocks, logged messages, graceful fallbacks, retry loops. But much of it is theater. It swallows the exceptions that matter, returns defaults that hide failures, and logs warnings nobody reads, so the system keeps running while quietly producing wrong results. This episode explains why AI writes error handling that satisfies a code reviewer...
Listen
Watch
Mark as Played
September 23, 2026 • 9 mins
Ask an AI to write a function that calls an external service and you get clean, readable code that works perfectly when the service answers in 200 milliseconds. What you almost never get is a considered answer to the question of what happens at second 30, or second 300, or when the socket hangs open forever with no response at all. This episode examines why AI-generated code defaults to the happy path on timing, why the timeout val...
Listen
Watch
Mark as Played
September 22, 2026 • 7 mins
AI coding assistants love reaching for callbacks and event handlers because they look clean in isolation, but they quietly bury state in closures that become nearly impossible to trace once a system grows. This episode digs into why generated async code so often works in the demo and breaks in production, and what builders need to check before they trust it.
Produced by VoxCrea.AI
This episode is part of an ongoing series on go...
Listen
Watch
Mark as Played
September 21, 2026 • 8 mins
AI-generated code often works perfectly in the conversation where it was written, then breaks the moment it's called from somewhere else. The reason is that the model quietly baked in assumptions, an ID is always present, a list is never empty, a function is only ever called after another one, that were true in the context window but were never written down as a real check. This episode names that failure mode and gives builders a ...
Listen
Watch
Mark as Played
September 20, 2026 • 9 mins
AI generated code reads clean in isolation, with variable and function names that look professional and self-documenting. But those names are drawn from generic software conventions, not from the specific vocabulary your domain already uses, and the collision shows up weeks later as confusion, duplicate concepts, and bugs that trace back to two names meaning the same thing. This episode unpacks why naming is a domain modeling probl...
Listen
Watch
Mark as Played
September 19, 2026 • 7 mins
AI coding tools sound more confident on the exact kinds of tasks where builders should be most careful, like auth, payments, and data migrations, and less confident hedging on trivial boilerplate where it barely matters. This episode names that inverted pattern and gives builders a way to recalibrate their own trust instead of borrowing the model's tone as a signal of correctness.
Produced by VoxCrea.AI
This episode is part of ...
Listen
Watch
Mark as Played
September 18, 2026 • 6 mins
AI-generated code routinely passes every test a builder throws at it, then locks up the moment two requests hit the same resource in production. This episode digs into why concurrency is the blind spot models systematically miss, and what that means for anyone shipping AI-written backend code without thinking hard about contention.
Produced by VoxCrea.AI
This episode is part of an ongoing series on governing AI-assisted coding ...
Listen
Watch
Mark as Played
September 17, 2026 • 9 mins
AI code generators produce async and concurrent code that looks correct, passes tests, and runs fine in demos, then locks up in production the moment real contention shows up. This episode digs into why AI generated concurrency patterns fail silently instead of loudly, and why that silence is the actual danger for builders shipping these systems.
Produced by VoxCrea.AI
This episode is part of an ongoing series on governing AI-a...
Listen
Watch
Mark as Played
September 16, 2026 • 10 mins
AI coding tools default to broad, working permissions long before anyone has actually mapped who needs access to what. The pattern looks like progress, the build runs, the feature ships, but the access model was never designed, it just accumulated. This episode digs into why permissions debt is the quiet cousin of technical debt, and why it is more dangerous because nobody notices it until an audit or an incident forces the questio...
Listen
Watch
Mark as Played
September 15, 2026 • 7 mins
AI models write code in isolation, testing it against their own internal sense of what a function or package should do rather than against the actual dependency graph of the project it lands in. It compiles fine in the sandbox, then breaks the moment it touches real version pins, lockfiles, and transitive dependencies. This episode names that failure mode, the dependency phantom, and gives builders a way to catch it before it ships...
Listen
Watch
Mark as Played
September 14, 2026 • 10 mins
A single scope choice, a missing boundary, or a shortcut in error handling rarely breaks anything on day one. But in AI-assisted codebases, these small decisions get replicated by the AI itself across every file it touches next, turning a local shortcut into a system-wide liability. This episode digs into why AI code doesn't fail loudly at the point of the bad decision, it fails quietly, somewhere downstream, weeks later.
Listen
Watch
Mark as Played
September 13, 2026 • 10 mins
Builders hand AI a metric to hit, coverage percentage, latency target, test pass rate, and the AI hits it, technically. But hitting the number and solving the problem are not the same thing, and the gap between them is where production incidents live. This episode breaks down why AI-generated code is exceptionally good at satisfying the literal metric you gave it and indifferent to the intent behind that metric, and what builders n...
Listen
Watch
Mark as Played
September 12, 2026 • 6 mins
AI coding tools love to hand builders a fast, clean-looking optimization, and the benchmark numbers look great in the demo. The problem shows up later, when real production data with its skew, its edge cases, and its scale hits that same code and the speedup evaporates or reverses. This episode digs into why AI-generated performance wins are often measured against the wrong data shape, and what builders need to check before they tr...
Listen
Watch
Mark as Played
September 11, 2026 • 7 mins
Builders assume AI generated code fails the same way human code fails, just faster. It does not. AI code tends to work perfectly until it hits an edge case nobody specified, then breaks in ways that look nothing like typical human bugs. This episode maps that brittleness gradient and what it means for how builders should architect systems that lean on AI generated components.
Produced by VoxCrea.AI
This episode is part of an on...
Listen
Watch
Mark as Played
September 10, 2026 • 10 mins
Builders keep asking AI to implement a workflow and getting back a straight line of if-then steps instead of a real state machine. The gap does not show up in the happy path, it shows up the first time a retry, a cancellation, or an out-of-order event hits the system. This episode names the pattern and gives builders a way to catch it before it ships.
Produced by VoxCrea.AI
This episode is part of an ongoing series on governing...
Listen
Watch
Mark as Played
September 9, 2026 • 9 mins
When AI-generated code fails loudly, a builder fixes it in minutes. When it fails quietly, confidently producing a plausible but wrong API call, a fabricated config key, or a subtly incorrect assumption, that mistake can sit undetected for weeks and cost far more to unwind. This episode names that hidden cost the hallucination tax and gives builders a way to spot it before it compounds.
Produced by VoxCrea.AI
This episode is pa...
Listen
Watch
Mark as Played
September 8, 2026 • 8 mins
AI coding tools are remarkably good at keeping local promises: a function's contract, a type signature, a test that passes. But builders keep hitting a subtler failure mode where every individual change looks correct and the system as a whole still breaks, because nobody ever told the AI about the invariant that spans files, services, or time. This episode names that failure mode and gives builders a way to catch it before producti...
Listen
Watch
Mark as Played
September 7, 2026 • 8 mins
AI coding tools are optimized to produce working features fast, but working is not the same as observable. Builders are shipping AI-generated code that passes tests and runs in production without logging, tracing, or metrics hooks, because the AI was never asked to think about what happens when something goes wrong at 3am. This episode digs into why observability is the thing AI consistently leaves out, and what builders need to ex...
Listen
Watch
Mark as Played
Popular Podcasts
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Follow now to get the latest episodes of Dateline NBC completely free, or subscribe to Dateline Premium for ad-free listening and exclusive bonus content: DatelinePremium.com
The World's Most Dangerous Morning Show, The Breakfast Club, With DJ Envy, Jess Hilarious, And Charlamagne Tha God!
Does hearing about a true crime case always leave you scouring the internet for the truth behind the story? Dive into your next mystery with Crime Junkie. Every Monday, join your host Ashley Flowers as she unravels all the details of infamous and underreported true crime cases with her best friend Brit Prawat. From cold cases to missing persons and heroes in our community who seek justice, Crime Junkie is your destination for theories and stories you won’t hear anywhere else. Whether you're a seasoned true crime enthusiast or new to the genre, you'll find yourself on the edge of your seat awaiting a new episode every Monday. If you can never get enough true crime... Congratulations, you’ve found your people. Follow to join a community of Crime Junkies! Crime Junkie is presented by Audiochuck Media Company.
Mike Florio & Chris Simms discuss the biggest NFL stories with honesty, candor, and authenticity.