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The Stack Overflow Podcast — 991 episodes · page 4 of 10

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Title
301

Is GenAI the next dot-com bubble?

302

Why configuration is so complicated

303

If everyone is building AI, why aren't more projects in production?

304

How do you evaluate an LLM? Try an LLM.

305

Diverting more backdoor disasters

306

Climbing the GenAI decision tree

307

Want to be a great software engineer? Don’t be a jerk.

308

What a year building AI has taught Stack Overflow

309

Are long context windows the end of RAG?

310

Will antitrust suits benefit developers?

311

Controlling cloud costs: Where to start, and where to go from there

312

Data, data everywhere and not a stop to think

313

Is AI making your code worse?

314

Why the creator of Node.js® created a new JavaScript runtime

315

Your whole repo fits in the context window

316

How Stack Overflow is partnering with Google to encourage socially responsible AI

317

A leading ML educator on what you need to know about LLMs

318

Building GenAI features in practice with Intuit Mailchimp

319

Chunking express: An expert breaks down how to build your RAG system

320

It’s RAG time for LLMs that need a source of truth

321

Optimizing both hardware and software for GenAI

322

How to convince your CTO it's worth paying down tech debt

323

Down the rabbit hole in the Stack Exchange network

324

Who owns this tool? A software component catalog to help devs find answers

325

Would you trust an AI bot to find the fix for vulnerabilities in your code?

326

Exploring the inclusive tech revolution

327

The creator of PyTorch Lightning on the AI hype cycle

328

Building a PDF larger than the known universe

329

AI isn't putting tech workers out of jobs, the stock price is

330

How to beat Doom in just 600 years

331

Inside Intuit's generative AI system, GenOS

332

Agile works great...to a certain size

333

Compression is understanding

334

Hacking the hamburger: How a pentester exposed holes in hundreds of fast-food chains

335

Sending bugs back in time

336

Letting algorithms guide our path to the next great invention

337

How to build a role-playing video game in 24 hours

338

Maximum Glitch: How to break Tetris

339

How long till we run out of fresh data to train the AI?

340

He created Stanford's Deep Learning class. Programmers will need to learn faster

341

Netlify CEO Matt Biilmann explains what we'll see with UI 2.0

342

From prompt attacks to data leaks, LLMs offer new capabilities and new threats

343

A tax change is hurting startups and developers

344

Can an AI get depressed?

345

Bringing context to alerting and incident management

346

What Gemini means for the GenAI boom

347

One weird trick for teaching users your software

348

Are LLMs the end of computer programming (as we know it)?

349

Will developers return to hostile offices?

350

Can GenAI 10X developer productivity?

351

Cloudflare Workers have a new skill: AI inference-as-a-service

352

The AI assistant trained on your company’s data

353

Build vs. buy doesn't matter. Tool adoption does.

354

Trust as a service for validating OSS dependencies

355

How the cocreator of Kubernetes is helping developers build safer software

356

He helped create Jira. Now he's searching for meaningful engineering metrics

357

Tomasz Tunguz: From Java engineer to investor in eight unicorns

358

Why Stack Overflow is embracing Svelte

359

Zero trust with zero problems

360

Forget the 10X engineer—it’s about building a 10X culture

361

Composable architecture

362

Forget "No Code." Adios "Low Code." Say hello to "Yes Code!"

363

The company making it easier to turn your coffee machine into a robot

364

Chatting with the GM of CodeWhisperer, an AI-powered pair programmer for AWS

365

No one likes meetings. Let's reduce their blast radius.

366

Subatomic speed, math misadventures, and the biggest fraud trial in history

367

How an algo raver stays in key(boards)

368

USB-C for all, PHP 4EVA, and what do LLMs actually know (if anything)?

369

How to write high-performance SQL for your Postgres database

370

Being creative with math: The immersive artist who traded a sketchpad for a keyboard

371

Like Python++ for AI developers

372

Mojo: The usability of Python with the performance of C

373

Forget AGI. Let’s built ADI: Augmented Developer Intelligence

374

Multiplayer programming on mobile: a chat with Replit CEO Amjad Masad

375

Founder vs Investor: What VCs are really looking for

376

Computers are learning to read our minds

377

You can’t spell Zapier without API

378

Job description: professional workplace bestie

379

Fighting comment spam at Facebook scale

380

Medical research made understandable with AI

381

Semantic search without the napalm grandma exploit

382

Making event-driven development predictable with Discover

383

Want better answers from your data? Ask better questions

384

Why everyone should be an AppSec specialist

385

Understanding SRE

386

The fine line between product and engineering

387

How engineering teams at a large org can move at startup speed

388

From startup to Google and back again

389

Behind the scenes with the folks building OverflowAI

390

How the Python team is adapting the language for an AI future

391

What it's like to be on the Python Steering Council

392

How AI can help your business, without the hallucinations

393

How ICs can get recognition for their work on big projects

394

How terrifying is giving a conference talk?

395

Jamstack is evolving toward a composable web

396

From Sims to supercycle?

397

Developers use AI tools, they just don’t trust them

398

Making computer science more humane at Carnegie Mellon

399

Improving the developer experience in the energy sector

400

The cofounder of Chef is cooking up a less painful DevOps