David Fisher

Had a chat with Eric Meyer and Brian Kardell about CSS masonry, does it belong in the grid spec or not? With a bit of a discussion about how and why we ask for developer feedback on CSS. https://lnkd.in/d3C-_dwq #css

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I got a preview of this talk. It's going to be good. If you think we've reached the end of the gen AI opportunity, then you should listen to what Roman Shaposhnik and Tanya Dadasheva have to share about the future of transformer architecture for AI.

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Monitoring usage for Canopy AI has been interesting. Some people frame things super well and get great results. Others ask a four-word question, and somehow still get some okay results (just because we have a lot of content + I categorized everything for the RAG), but not always. We do some prompt augmentation, but we should do more. Currently, we inject things in certain scenarios or when it fails. Ideally, we would have a two-pass system for every request, where everything goes through a prompt improver. You can't assume users will ask the right things. All kind of obvious things I had already considered but left for a later version after initial usage. The cool part is this would've been hard to do last year due to speed/cost; now you can just "pipe" things multiple times using the same high-quality model you call at the end.

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so what is your move gaes

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Where's the fun in building a web app if you forget to use it? This article explores implementing a simple SMS reminder system using #Flask #Twilio and #GCP https://lnkd.in/evKwpk-9

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A post about some of the ways I try to meet the needs of a browser DevRel team that need to share information about new things, with those of developers who need to know what actually works now. If you write or speak about the web, perhaps some of these ideas will help you too.

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I discovered an insightful explanation by Matt Palmer, DevRel Lead at Replit, discussing Developer Relations. He addresses common questions like: What is DevRel? What distinguishes a good DevRel from a great or lead DevRel? When is it ideal to hire a full-time DevRel compared to a part-time consultant? And, how can DevRel performance be evaluated? Key insights include: DevRel combines Product, Marketing, and Education for developer tool companies. Developers often resist traditional marketing. DevRel effectively turns leads into users, while the product keeps them engaged. Integrating DevRel communication into your marketing strategy post-product-market fit enhances credibility with developers. Watch the full video here: https://buff.ly/4iXRC0x #DevRel #DeveloperAdvocacy

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I'm extraordinarily grateful for how generous users of the #HarmoniQEar app have been with their feedback, and I just updated the app with a ton of improvements based on that feedback! Check it out! 📱 https://lnkd.in/gFU4wKVd Frankly, I'm amazed that I've already received feedback from several early users, and in some cases, it's been quite enthusiastic. Users are saying they—or often their kids—are either developing perfect pitch outright or noticing significant improvements in identifying or singing notes consistently after using the app. 🎶 #PerfectPitch is not an instant switch—so, what is the learning process like? I just posted an article summarizing insights from users who are challenging conventional wisdom and developing perfect pitch, including some changes people are starting to notice as they progress. 🔗 Full article: https://lnkd.in/gR8iwYNj #PerfectPitch #MusicEducation #EarTraining #Mindfulness #AbsolutePitch

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Nice shoutout from Dotan Horovits 🇮🇱🎗and Charity Majors for #OpenTelemetry and the evolution of client-side telemetry (particularly the open source of Embrace) in 2024. Time for data to be portable, available, and not locked in. "F that sh$t. The only thing that deserves swearing is vendor lock in," screamed Charity Majors. Data should be available to anyone who can build on it, run analysis, do AI, etc. Stabilize, adopt, and run!

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Just a quick update to let folks know I've finally launched the Cartomancy Labs website at https://cartomancylabs.com The futurecast newsletter has moved back to beehiiv directly - https://lnkd.in/eFjZt8MH As most of my work has been happening by referral (and thank you for that, btw) I've been slow to figure out how to explain what I'm doing with Cartomancy. Since I have a couple of CISO credits on my resume, you'll not be surprised to hear I'm doing some vCISO work, mostly around strategic improvements to tech (and data) stack, facilitating governance, and CISO advisory/leadership development. However - the bulk of my work has been in Fraud R&D. Three pieces of this:  - Program kickstarts: It turns out that a lot of growing businesses (in tech, fintech, retailers, and platforms/marketplaces) have abuse cases to sort out and address that they weren't expecting. And since it can be a little fuzzy figuring out whether it's fraud or abuse or a security issue, I've been able to help teams get situational awareness and bootstrap their tech & ops here. - Redesigns/Uplevels: Companies that already have existing anti-fraud/anti-abuse programs are often struggling to migrate to more operant tech, or are finding themselves bogged down bc of tooling or workflow issues. Here I've been taking on engagements covering E2E tech stack architecture and optimization.   - Fusion Tech Research & Innovation: Cyber innovation is converging with traditional fraud tech. And there are so many vendors and services across fraud and also cyber, so it can be challenging to sort out what is needed and how components will work together. I'm loving working with a combination of traditional tech and innovations in this space, and also coordinating better tech stacks between Cyber & Fraud teams. If your team/organization needs some help on customer-facing security issues, or in that interesting spot between cyber & fraud, definitely give me a ping. If I can't map out the solution for you, I can help you navigate to someone who can.

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Question for engineering leaders (managers, directors, VP's, etc): I'm curious about the current landscape of developer productivity analysis + management tools - things like LinearB and Jellyfish. Which tool, if any, are you using? Any opinions/pros/cons on the tool you're using (or the entire domain overall)?

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The best use case for overseas development I've heard: We have customers in the eastern hemisphere. To support those customers better, we're standing up product, dev, and support teams to help serve those customers needs. Two key ingredients in making that successful: commensurate pay and the same level of performance and accountability as US peers. #software #international #teammanagement #overseasdevelopment #startup #leadership #coaching

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Hi all. I thought I'd share some incredible work that Gene Kim has done to create... well, he's created quite a story. It's the story of how programming is changing, across our industry, today and now. Pretty important stuff, yeah? Although I admit I am a _bit_ biased; I can barely hear people's skepticism over the deafening noise of my 10x productivity gains with LLM chat. But don't listen to me. Nooo. No! Go watch as Gene discovers for himself the incredible power of Chat-Oriented Programming (CHOP). His edited narrative is complete with sports-reel like video excerpts of highlights from our 3-hour pairing session, with most of the f-bombs removed. In this fast-moving coding session, Gene uses CHOP to create a video excerpt generator from scratch... which he then uses to create excerpts showing how he made it. Very meta. Gene is always an amazing storyteller, but I think he's outdone himself here. https://lnkd.in/gHahRdRk I think you will find this story oddly, hypnotically fascinating. Most of the time, watching people program in real life is not glamorous, like what they show in the movies, where someone has a gun to the hacker's crotch and a briefcase on the table with a million dollars in it. If only it were always that fun. But in real life that only happens in OpenAI job interviews. The rest of the time, watching other people write code is exactly as fun as staring at your dental x-rays while you're getting a root canal. Even watching at 2x is just speed-running your root canal for extra regret. At least, that is how I feel. Coding is one of those things I would rather be doing than watching. And yet. And yet! Somehow, this CHOP session Gene and I did wound up being an awesome watch, because it's going so fast. It's got a good vibe. It has high re-watch value. Many folks we've showed it to so far have gone back and watched the entire original session. Some even gave us pages of detailed feedback. It gets people excited. You can't help but watch it and marvel at how _different_ programming is becoming, and how much potential it has. Anyway, take a peek. I personally think it's an eye-opening glimpse into the future of how GenAI is changing coding. I find this stuff endlessly fascinating. If you do too, be sure to let me and/or Gene know your thoughts. Feels like we're learning new stuff every single week. Lastly -- If, like me, you are itching to know more about the future of programming, you'll be excited to hear that we (Sourcegraph) are hosting a huge Code AI Summit on December 12th. And if you're itching for any other reason, you'll be excited to hear that the summit is virtual. Gene and I will both be there online for live Q&A, and we will have lots of other special guests and Code AI related content for you. Register here: https://lnkd.in/gw-XD6zc Hope to see you all there!

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