Today, we have a message from LogRocket, the company behind PodRocket.

LogRocket CEO, Matthew Arbesfeld, and Senior Engineering Manager, Renzo Lucioni, sit down to talk about LogRocket's new machine learning layer Galileo.

Galileo cuts through the noise of traditional monitoring and analytics tools, proactively scanning your applications to surface the most critical issues impacting your users.

https://logrocket.com/features/galileo
https://lp.logrocket.com/lp/galileo-beta

LogRocket combines frontend monitoring, product analytics, and session replay to help software teams deliver the ideal product experience. Try LogRocket for free today.

Special Guest: Renzo Lucioni .

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LogRocket combines frontend monitoring, product analytics, and session replay to help software teams deliver the ideal product experience. Try LogRocket for free today.

Most developers reach for date-fns or Moment.js without realizing the browser already ships a powerful string formatting library called the JavaScript Intl API. Killian Valkhof, creator of Polypane, walks through how locale-aware date formatting, currency formatting, the Segmenter API, and the Collator API can replace heavy npm dependencies, with support for over 7,000 locales baked right into every evergreen browser since 2017.

INTL: The best browser API you’re not using | Kilian Valkhof: https://www.youtube.com/watch?v=mhzJ1UFlRjw

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LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today.

00:00 Introduction — Browser APIs & the Intl API
01:00 Why Developers Overlook Internationalization
02:30 What the Intl API Actually Is (It's a Formatting Library)
04:00 7,000 Locales Built Into Every Browser
06:00 What Intl Does NOT Do — It's String Output Only
07:00 date-fns, Moment.js, Luxon, and Numeral.js Compared
09:00 Why the Segmented Rollout Slowed Adoption
11:00 Currency Formatting and Locale Trust Signals
13:00 The Worst Under-Used API in the Browser
16:00 How Browser Specs Have Evolved Since HTML5
18:30 Dialogue, Popover, Anchor Positioning — New Primitives
23:00 The Top Layer and Z-Index Problems Solved
25:00 WebGPU, WASM, and Native API Trends
27:30 The Easiest Way to Start Using Intl Today
31:00 Collator, Segmenter, and List Format APIs
32:00 Wrap-Up and Where to Find Killian's Full Talk

Special Guest: Kilian Valkhof.

The Amazon AI coding outage reignited a debate the industry can't ignore: is this an AI failure or a process failure, and does that distinction even matter anymore? Paige, Jack, Paul, and Noel dig into vibe coding culture, the engineer retention crisis, and the rise of harness engineering as a discipline in this month's panel. They also tackle autonomous agents running while you sleep, zero-touch engineering, what a senior engineer even means now, and whether open source can survive the agentic era.

Beyond the Hype: Why Vibe Coding Leaders Are Facing a Retention Crisis: https://www.forbes.com/councils/forbestechcouncil/2026/03/09/beyond-the-hype-why-vibe-coding-leaders-are-facing-a-retention-crisis/
Atlassian layoffs as part of AI push: https://www.theguardian.com/technology/2026/mar/12/atlassian-layoffs-software-technology-ai-push-mike-cannon-brookes-asx
I'm Building Agents That Run While I Sleep: https://www.claudecodecamp.com/p/i-m-building-agents-that-run-while-i-sleep

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LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today.

00:00 Introduction & Panel Welcome
01:30 Amazon's AI Outage - Process Failure or AI Failure?
05:00 Harness Engineering and the Real Lesson from Stripe
08:30 The Retention Crisis - Are Good Engineers Leaving Tech?
11:30 The Satisfaction Problem - AI Stole the Mountain Climb
14:00 Code Review Is the New Bottleneck
16:00 Stripe vs Amazon - Two Different Philosophies on AI at Scale
18:00 Would You Restart Your Career in a World of Code Review?
21:00 Domain Experts as the New Engineers
24:00 Is Artisanal Code a Real Future?
28:30 Content in the AI Era - Who's It Even For?
30:30 Agents Running While You Sleep - The Verification Problem
33:00 Zero-Touch Engineering and How Paul's Team Does It
36:00 Auto-Research, LLMs Judging LLMs, and Brain Rot Scripts
40:00 Are We Actually Shipping Faster?
41:00 What Does "Senior Engineer" Mean Now?
47:00 Hot Takes - Open Source, USB-C, Defense Contracts, and Taste
53:00 Wrap-Up

Special Guest: Jack Herrington.

In this repeat episode, Jack Herrington sits down with Tanner Linsley to talk about the evolution of TanStack and where it’s headed next. They explore how early projects like React Query and React Table influenced the headless philosophy behind TanStack Router, why virtualized lists matter at scale, and what makes forms in React so challenging. Tanner breaks down TanStack Start and its client-first approach to SSR, routing, and data loading, and shares his perspective on React Server Components, modern authentication tradeoffs, and composable tooling. The episode wraps with a look at TanStack’s roadmap and what it takes to sustainably maintain open source at scale.

How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend?

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Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod.

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LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today.

01:00 – What is TanStack? Contributors, projects, and mission
02:05 – React Query vs React Table: TanStack’s origins
03:10 – TanStack principles: headless, cross-platform, type safety
03:45 – TanStack Virtual and large list performance
05:00 – Forms, abandoned libraries, and lessons learned
06:00 – Why TanStack avoids building auth
07:30 – Auth complexity, SSO, and enterprise realities
08:45 – Partnerships with WorkOS, Clerk, Netlify, and Cloudflare
09:30 – Introducing TanStack Start
10:20 – Client-first architecture and React Router DNA
11:00 – Pages Router nostalgia and migration paths
12:00 – Loaders, data-only routes, and seamless navigation
13:20 – Why data-only mode is a hidden superpower
14:00 – Built-in SWR-style caching and perceived speed
15:20 – Loader footguns and server function boundaries
16:40 – Isomorphic execution model explained
18:00 – Gradual adoption: router → file routing → Start
19:10 – Learning from Remix, Next.js, and past frameworks
20:30 – Full-stack React before modern meta-frameworks
22:00 – Server functions, HTTP methods, and caching
23:30 – Simpler mental models vs server components
25:00 – Donut holes, cognitive load, and developer experience
26:30 – Staying pragmatic and close to real users
28:00 – When not to use TanStack (Shopify, WordPress, etc.)
29:30 – Marketing sites, CMS pain, and team evolution
31:30 – Scaling realities and backend tradeoffs
33:00 – Static vs dynamic apps and framework fit
35:00 – Astro + TanStack Start hybrid architectures
36:20 – Composability with Hono, tRPC, and Nitro
37:20 – Why TanStack Start is a request handler, not a platform
38:50 – TanStack AI announcement and roadmap
40:00 – TanStack DB explained
41:30 – Start 1.0 status and real-world adoption
42:40 – Devtools, Pacer, and upcoming libraries
43:50 – Sustainability, sponsorships, and supporting maintainers
45:30 – How companies and individuals can support TanStack

Special Guests: Jack Herrington and Tanner Linsley.

Carson Gross, computer science professor at Montana State and creator of htmx, joins the show to cut through the noise around AI and programming. He explains why the jump from high-level languages to LLMs is fundamentally different from past transitions, why junior developers who skip writing code risk being at the mercy of a stochastic system, and why systems architecture and managing code complexity are the skills that will matter most. A grounded, rational take on the future of software development jobs.

Yes,and...: https://htmx.org/essays/yes-and/

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LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today.

00:00 Introduction — Carson Gross and the "Yes, And…" Blog Post
01:45 Why Carson Felt Compelled to Write About AI and Coding
03:30 The Assembly-to-High-Level Analogy — and Why It Falls Apart
06:00 Juniors Must Write Code to Be Able to Read Code
08:15 The Sorcerer's Apprentice Trap
10:30 Could AI Actually Increase Demand for Programmers?
12:45 Why "SaaS Is Dead" Is Shortsighted
15:00 Systems Architecture as the High-Value Skill Going Forward
17:30 Essential vs Accidental Complexity — The No Silver Bullet Framework
20:00 How LLMs Break the Natural Feedback Loop of Bad Code
23:00 Will AI Change How We Think About Testing?
26:30 Abstraction, Paradigms, and Human-Readable Code
29:00 How Much Has AI Actually Boosted Carson's Own Productivity?
32:00 The Mental Health Cost of the AI Hype Cycle
35:30 Final Thoughts — Give Yourself (and Others) a Break

Special Guest: Carson Gross.

Will Madden joins the podcast to talk about Prisma Next and the evolution from Prisma 7, including the decision to migrate away from Rust, ship the core through WebAssembly, and move toward a fully TypeScript ORM. The conversation dives into how modern workflows like agentic coding change the role of an ORM and why tools still matter even when agents can write SQL queries directly.

We discuss how feedback loops, guardrails, and the TypeScript type system help prevent errors, along with the new query builder, query linter, and middleware layer that analyze queries using an abstract syntax tree. The episode also covers new database capabilities including Postgres support, upcoming Mongo support, and extensions like PG Vector, enabling vector columns and cosine distance similarity search.

You’ll also learn about new patterns such as collection methods, scopes, and composable database extensions, plus tooling like driver adapters, a potential compatibility layer, and safeguards like lint rules and a performance budget middleware designed to catch expensive queries before they run.

The Next Evolution of Prisma ORM: https://www.prisma.io/blog/the-next-evolution-of-prisma-orm

How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend?

Fill out our listener survey! https://t.co/oKVAEXipxu

Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod.

Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/

Follow us on Apple Podcasts, fill out this form, and we’ll send you free PodRocket stickers!

LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today.

00:00 Introduction
01:00 Prisma Seven and the Move Away from Rust
02:20 Missing Features and Mongo Support
03:00 Why Prisma Started Rebuilding the Core
04:00 Community Sentiment and Developer Feedback
05:20 Rethinking ORMs in the AI and Agentic Coding Era
06:45 Why Agents Still Need ORMs
07:30 Feedback Loops and Guardrails for SQL
08:30 Type Safety and the First Layer of Query Validation
09:30 Query Linter and Middleware Architecture
11:00 Runtime Validation and Query Errors
12:30 Configuring Lint Rules and Guardrails
14:00 Designing ORMs for Humans and Agents
15:30 Collection Methods and ActiveRecord-style Scopes
17:00 Reusable Queries and Domain Vocabulary
18:30 Query Composition and Flexibility
19:00 Performance Guardrails and Query Budget Middleware
20:30 Debugging ORM Performance Issues
21:00 Query Telemetry and Request Tracing
22:30 Prisma Next Extensibility and Database Plugins
23:00 Using PGVector and Vector Search
24:00 Database Drivers and Backend Architecture
25:00 Native Mongo Support in Prisma Next
26:00 Community Extensions and Middleware Ecosystem
27:00 Runtime Schema Validation Use Cases
28:00 Writing Custom Query Validation Rules
29:00 Migration Paths from Prisma Seven
30:30 Compatibility Layers vs Parallel Systems
32:00 Prisma Next Roadmap and Timeline
34:30 What Developers Will Be Most Excited About
35:30 Final Thoughts and Community Feedback