⚡Nyah Macklin⚡

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⚡Nyah Macklin⚡

⚡Nyah Macklin⚡

@NyahMacklinDev

🧑🏾‍💻 Sr. Developer Advocate @Neo4j Prev:@Couchbase @Suborbitaldev 🧑🏾‍🏫 Instructor @GCodeHouse 🎓 Alum & Mentor @ResilientCoders 🏆 Ambassador @RenderATL

Negotiating with typescript. Katılım Eylül 2022
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⚡Nyah Macklin⚡ retweetledi
LawrenceDCodes
LawrenceDCodes@LawrenceDCodes·
Hey do you know what today is? It’s 9 months, 5 days until the @RenderATL conf. Perfect time for a mashup through the years 🤗
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Rizèl Scarlett 🇦🇬🇬🇾
Rizèl Scarlett 🇦🇬🇬🇾@blackgirlbytes·
my career goal is/and has always been to be the best dev advocate out there. Like, one day my name will be synonymous with the best.
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Rizèl Scarlett 🇦🇬🇬🇾
Rizèl Scarlett 🇦🇬🇬🇾@blackgirlbytes·
Honored to be speaking at GitHub Universe 😁😁😁 Also let’s hang out!!
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Roger Cruz
Roger Cruz@RogerDavidCruz·
@shashiwhocodes Last year, I learned so much from Nyah Macklin’s @NyahMacklinDev powerful talk on tech ethics and data responsibility. She shared frameworks to bring ethical thinking into the development lifecycle—an essential topic for all engineers. #CareerDevelopment #ethics
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Leon Noel 🔥
Leon Noel 🔥@leonnoel·
Every member of our free @resilientcoders engineering cohort must get a paid client. After 5 weeks of HTML, CSS, & JS they made $40,370! Here are the contract amounts: 10000 6000 5000 2000 1500 1200 x 2 1000 x 3 900 850 800 x 2 700 x 2 670 600 500 x 3 400 x 3 350 x 5
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Sebastian Siemiatkowski
Sebastian Siemiatkowski@klarnaseb·
Yes, we did shut down Salesforce a year ago, as we have many SaaS providers—an internal estimate is about 1,200 SaaS shut down. No, I don't think it is the end of Salesforce; might be the opposite. Here is what actually happened and how/why we originally intended to NOT share it publicly: At Klarna, we decided early to explore the potential of AI and LLMs—mostly ChatGPT—while being open to testing all things that seemed to be trending. We encouraged all employees to do so and allowed them to pursue ideas organically rather than following "management direction" on exactly what they should be building. In the early days of ChatGPT, we heard a lot: "this tool allows you to feed all your PDFs, all your data sources to a LLM!" However, the old universal truth of data scientists still holds true, even in AI: "shit in, shit out." Feeding an LLM the fractioned, fragmented, and dispersed world of corporate data will result in a very confused LLM. We started instead exploring a few key concepts: What of our data was actually valuable? What data was duplicative, incorrect, or contradicting? Why was it like that? While people nowadays can criticize things like Wikipedia, we also reflected on the fact that it is a remarkable achievement—having over 20,000 people collaborate on the largest graph of knowledge that is still fundamentally of high quality, accessibility, and accuracy. What could we learn from this? A Swedish company, @neo4j, and @emileifrem introduced us to the beautiful world of graphs. We further explored data modeling, ontology, and, of course, vectors, RAGs, and many things. Key to our explorations became the conclusion that the utilization of SaaS to store all forms of knowledge of what Klarna is, why it exists (docs), what it tries to accomplish (slides, tickets, kanban boards), how it is doing (sheets, analytics), who is it dealing with (CRM, supplier management), who works here (ERP, HR) and what it has learnt was fragmented over these SaaS—most of them having their own ideas and concepts and creating an unnavigable web of knowledge that required a tremendous amount of Klarna specific expertise to operate and utilize. We also recognized that enterprise software has a standard set of features that are vital for it to operate—features such as audit, versioning, access and edit management, and similar universal needs. We need them as well, but that fragmentation again adds friction, admin overhead, and more. So, we decided to start consolidating; to put things together, connect our knowledge, and remove the silos. The side consequence of this was the liquidation of SaaS—not all of them, but a lot of them. And not for the license fees, even though those savings have been nice, but for the unification and standardisation of our knowledge and data. So no, we did not replace SaaS with an LLM, and storing CRM data in an LLM would have its limitations. But we developed an internal tech stack, using Neo4j and other things, to start bringing data=knowledge together. Ultimately, we found this very interesting, but more importantly starting seeing serious productivity gains. We allowed our internal AI to use this knowledge, and we realised with the help of @cursor_ai we could quickly deploy new interfaces and interactions with it. So, I discussed with one of my board members: should we share this publicly? We decided not to. We hold no grudge against SaaS (not true—I hate some of it, but won't tell you which one). But we are a payments company and a neo bank, there is limited value for us to share this externally. However, Klarna, being a bank, holds quarterly calls with its investors, and in passing on of these calls, I mentioned that we had removed some SaaS software including Salesforce. It turns out that the recording was leaked to @SeekingAlpha, and they put out a news post about it. And from there, it went crazy. Suddenly, @Benioff was asked on stage why Klarna was leaving Salesforce. I was tremendously embarrassed. So, to summarise, what does this mean? Will all companies do what Klarna does? I doubt it. On the contrary, much more likely is that we will see fewer SaaS consolidate the market, and they will do what we do and offer it to others. Those are likely to be your next SaaS. And it is very likely that Salesforce will be one of those companies. As highlighted many times, they do so much more than CRM today and hence have the opportunity to become that hub of knowledge that modern companies will seek. But there are also risks for them and others; a lot of our large enterprise SaaS providers suffers from a fallacy. They started as companies with a clear opinion of how to do things, but over time, as they try to satisfy every whim of any random person working at any large enterprise, they become somewhat of a glorified database and lose their opinion. Opinionated software is worth something, as opinions represent an experience of what works, what produces results. And this is the ultimate value. So I hope with sharing this we can clarify a lot of speculation and misunderstandings and in the end same thing as is always true, just like when mobile came along, we talked about mobile first, now you need to be AI first. Of course all SaaS companies will need to learn adopt and evolve. But if they do there is tremendous opportunity ahead.
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Jerry Liu
Jerry Liu@jerryjliu0·
Build a knowledge graph agent from scratch 🔥 I'm super excited about this blog post by Tomaz Bratanic from @neo4j - this is probably the most thorough treatment I've seen for building a text-to-cypher powered knowledge graph agent that actually works well. Tomaz walks through an entire list of potential strategies and evaluates them according to a standardized benchmark: 1. Naive text-to-cypher 2. Text-to-cypher with retry and evaluation 3. Iterative planning system by generating a plan of sub-queries before creating the final query. All of these can be stitched together as an event-driven system with @llama_index workflows. Check out the post! llamaindex.ai/blog/building-… If you want to get your hands dirty on workflows check out our guide here: docs.llamaindex.ai/en/latest/modu…
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LlamaIndex 🦙@llama_index

Dramatically improve the accuracy of your knowledge graph applications by applying agentic strategies with LlamaIndex workflows! In this comprehensive post by Tomaz Bratanic of @neo4j, he builds up slowly from a naive text2cypher implementation to an agentic approach with error checking, retries and correction, and he has the benchmarks to prove it's a better strategy! ➡️ Implement agentic strategies for text2cypher using LlamaIndex Workflows ➡️ Explore multi-step approaches with retry and self-correction mechanisms ➡️ Understand the benefits of iterative planning for complex queries ➡️ Gain insights on benchmarking and real-world deployment considerations Check out the full guest post on our blog here: llamaindex.ai/blog/building-…

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Justin E Samuels
Justin E Samuels@ThugDebugger·
As a reminder. All tickets to @RenderATL also includes access to the A.I. Summit hosted by @AtlantaTechWeek! Hear from the latest developments, workshops and product demos centered around A.I. Just one of the ways we’re stuffing more value into your tickets for #RenderATL2025
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briana
briana@msbrianaholmes·
I'd like to go live about the importance of community in the tech space. Anyone wanna join me? 😃 [This is totally out of my comfort zone and it'll be my first time so someone please say yes]
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Danny Thompson
Danny Thompson@DThompsonDev·
THE COHORT APPLICATION PROCESS IS NOW LIVE! You can apply to be in the Cohort! What is the Cohort? A 6-week volunteer-run program where we place people on teams to build projects being guided by a professional software developer in the industry. What do they build? Link⤵️
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Quincy Larson
Quincy Larson@ossia·
If you're working hard to get into tech, consider listening to the latest episode of The Programming Podcast on YouTube or your favorite podcast player. @leonnoel and @DThompsonDev talk with me about the job market and practical tips for making it work for you.
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LawrenceDCodes
LawrenceDCodes@LawrenceDCodes·
My first offer for my first job in tech was part-time as an intern making $12.00/hr. I was a 46-year-old man with a wife, kids, and a mortgage but I accepted it. I had no idea days later I'd be called for an additional interview and as a result of that interview have the offer bumped up to a fulltime role. I had no idea but I was willing to take the leap. I'm sharing pieces of the offer letter because Claire Huxtable said "let the record show" 😂. I was so excited I started to make the video below. While I never finished the video, I have taken advantage of numerous opportunities since then to tell my story and share an example for other adults considering a transition into a technical career. Some relevant things in this short clip is that it is filmed from the "lonely loft" I've spoken of in numerous podcasts and Twitter spaces. You'll see a goals board behind me which I have spoken about many times as well. Those stories aren't fairy tales; this is my life. You'll notice on the board a goal of being hired in 2017. I didn't make it. I 100% did not achieve that goal. But I kept going and that's all I want to share with someone who may need encouragement today. No matter where someone may appear to me, often there's so many bumps in the road, setbacks, and letdowns that they may or may not choose to share. Don't YOU go feeling down in the dumps because of setbacks - we all have them. ALL OF US. Keep learning, building, teaching, pressing, pushing, strategizing, applying, relating, growing, and most importantly, KEEP GOING.
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