mide.dev

Back into #golang after a while! My next big project? Building a scalable file management, storage, and sharing system. To nail the performance, I deep-dived into the Go compiler. What it does automatically to make code safe and fast is insane.

@Tech_girlll Learn how to build systems first 👌

Be honest Is learning to code still worth it?

@CollinsKimotho AI Engineering and ML let's connect

I’m looking to connect with people in: Data Analytics 📊 | Data Science 🤖 | ML 🧠 | Tech 💻 Currently on my machine learning journey—building projects and learning in public 🚀 If you’re also learning, working, or transitioning into tech, let’s connect 🤝 Bonus: What are you currently learning or building? 👇

Andela AI Engineering 10-week intensive bootcamp final 3-hour live Technical assessment. Stack: python, FastAPI, OpenAI SDK, Turso(SQLite host), UI(Vite React), MCP Requirements: Customer support chatbot solution, safe and cheap #AIEngineering #LLM #OpenAI

I just completed a 10-weeks intensive bootcamp with Andela for AI Engineering. It was rigorous. Today I did both my behavioural and 3-hour live technical assessments. So proud of the effort I put in. 👌

If you're building AI products in 2026, Please learn: - Async Python / concurrency - Streaming APIs / WebSockets / SSE - Queue systems (Kafka / RabbitMQ / SQS) - Rate limiting / backpressure / retries - Caching strategies for LLM apps - Event-driven architectures - Distributed tracing / observability - Cost-aware infrastructure design AI apps still need real backend engineering.

LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So: Data ingest: I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them. IDE: I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides). Q&A: Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale. Output: Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base. Linting: I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into. Extra tools: I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries. Further explorations: As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows. TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

If you’re hunting for a remote job, you just need to figure out how Reddit works, and you’ll never be unemployed for a long time. Here’s a list of subreddits you should bookmark right now:

Anyways I will write up a detailed article on how to get your PVC this week, how to do online pre registration and INEC locations near you. You're welcome. It's not about making noises online. It's about showing up on election day.

I noticed that there's not a lot of information on electoral processes in Nigeria. Everybody is just complaining online nobody is educating the masses. CC: @DataDriven3

@heisxavier577 @AbimbolaShotayo

I am fine now (not really but at least I am back home now). Thank you everyone that tried calling. It was a really scary experience I can’t lie. I feel so unsafe rn. During the whole drama my phone was snatched by the officers and I was handcuffed.

@heisxavier577 @CspIniedu calling your attention to this sir.

@heisxavier577 @PoliceNG_CRU

@heisxavier577 @PoliceNG

Police stopped @heisxavier577 while driving around surulere and now, his phone keeps ringing but no one is picking.

@mastersam_ @heisxavier577 @PoliceNG

@mastersam_ @heisxavier577 As how nau.

Everyday, I’m reminded as a Nigerian that I need to show up 10x better and excellent than everyone else. You always have to prove how goated you are regardless of whatever evidence already exists. It’s a blessing in disguise cos you now aim of extraordinary excellence, but can be tiring.

Relocation sucks fr. We’re all meant to grow up together, do life together, raise our kids together and all that. Somebody please fix this fvcking country

These industries have crippled overtime by the unnecessary need to aggregate power in one place and control the system. Until we do the needful, we'll continue to move at this pace that's starting to look like regression.

The current system continues to handicap states who want to and have the capacity to grow by tying them a central system. There was a time in Nigeria where different regions predominantly housed industries, from textile, to cash crops production, livestock, etc.

It's interesting how we've been sold the idea that Nigeria is a country. But by design the Nigerian state wasn't built to work. There's just too many moving parts, varying interests and no clear identity. There are some unifying units, but not sustainable to build a nation.