Modeling Impact Of LLMs On Developer Experience
- Will Larson tl;dr: “Models are imperfect representations of reality, but this one gives us a clear sense of what matters the most: if we want to increase our velocity, we have to reduce the rate that we discover errors in production. That might be reducing the error rate as implied in this model, or it might be ideas that exist outside of this model. For example, the model doesn’t represent this well, but perhaps we’d be better off iterating more on fewer things to avoid this scenario. If we make multiple changes to one area, it still just represents one implemented feature, not many implement features, and the overall error rate wouldn’t increase.”featured in #556
6 No-Code Ways To Integrate AI Into Your Product
- Kelsey Foster tl;dr: No-code and low-code solutions let you deploy AI-driven Speech-to-Text tools with ease. Learn how platforms like Make, Zapier, and Relay.app integrate seamlessly into your workflows, empowering your teams to innovate without heavy coding.featured in #555
8 Game-Changing Speech AI Apps You Need To Know
- Kelsey Foster tl;dr: More companies are building with Speech AI than ever before, thanks to enhanced accuracy, speed, and accessibility. Discover innovative tools transforming industries—from next-gen meeting note-takers to conversation intelligence solutions. These cutting-edge apps are redefining customer interactions—see what sets them apart.featured in #553
AI Tools For Software Engineers, But Without The Hype
- Gergely Orosz Simon Willison tl;dr: “Ways to use LLMs efficiently, as a software engineer, common misconceptions about them, and tips / hacks to better interact with GenAI tools.”featured in #553
Unlock The Future Of Voice Technology
- Kelsey Foster tl;dr: Discover how this game-changing technology powers everything from voice assistants to real-time transcription. Our comprehensive guide explores the fundamentals of speech recognition, its diverse applications, and the unmatched benefits for productivity and accessibility. Ready to build the next breakthrough?featured in #551
A Rationale Breakdown Of The Reality Of Artificial Intelligence
- John-Daniel Trask tl;dr: Instead of getting caught up in the fear or the hype of AI, let’s have a grounded conversation. At Raygun they’re cutting through the noise with a clear, evidence-based look at the real potential of this technology.featured in #550
The LLM Honeymoon Phase Is About To End
- Baldur Bjarnason tl;dr: “This is going to get automated, weaponised, and industrialised. Tech companies have placed chatbots at the centre of our information ecosystems and butchered their products to push them front and centre. The incentives for bad actors to try to game them are enormous and they are capable of making incredibly sophisticated tools for their purposes.”featured in #548
Securing Applications in the Age of AI: New Threats, New Strategies
- Reed McGinley-Stempel tl;dr: As artificial intelligence reshapes application security, new threats emerge alongside innovative protective strategies. Reed explores the challenges posed by AI-driven attacks and offers proactive measures to strengthen your security framework, empowering you to safeguard applications while maximizing AI's potential for resilience.featured in #547
featured in #546
OpenAI Is Shockingly Good At Unminifying Code
- Frank Fiegel tl;dr: “Usually I would just power through reading the minimized code to understand the implementation. However, I realized that I never tried asking ChatGPT to do it for me... So I copied all of the above code and asked ChatGPT to "explain the code”.”featured in #545