T'megha™

Senior Software Engineer ▪︎ Smart human 👌| eyes on the prize ♤ | low key chess baller ▪︎ Building @dynastytechng

[T'megha™ @temitopeakin]

I started off with my Java/spring boot learning today,
Hey, what are you trying to achieve with this language?
Mastering Java fundamentals, Deep dive more into OOP and its concepts, and build solid projects.

[T'megha™ @temitopeakin]

@amosuibk Just realised ke...
Happy birthday in advance chief Recruiter.
More grace

[Chrome @0xchromium]

Andrej Karpathy spent 2h showing how he actually uses AI day to day

he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching

and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker

watch what's actually happening the entire time:

> he describes the task in normal words
> it goes off and does the work
> he glances at the result and nudges it with one more sentence

that's the whole skill, and you've had it since you learned to talk

the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act

check his work, then build the version that keeps working when you stop

[Elon Musk @elonmusk]

The latest 𝕏 algorithm has been published to GitHub
https://t.co/ZCOm51uxmh

[T'megha™ @temitopeakin]

@IconicGoal @TouchlineX because they win games by tweeting..lol, funny people

[K.O.O @Dominus_Kelvin]

Nigerian startup founders please make your engineers read The Frugal Architect Laws by the CTO of AWS

https://t.co/Cq6kdKrFL0

[T'megha™ @temitopeakin]

@amosuibk Not a lie

[T'megha™ @temitopeakin]

@renoomokri Kai....its well.

[T'megha™ @temitopeakin]

@renoomokri Kai....its well.

[Ibukun Amosu 🇳🇬🇬🇭 @amosuibk]

If you’re building an AI/deeptech solution, you might learn a thing or two.

PS: I may have hyped the series way too much.

[Neo Kim @systemdesignone]

20 GitHub repos to elevate your AI engineering career (save this):

1 OpenClaw
↳ Runs a personal AI agent locally that can browse, plan & take actions on your device.

2 TensorFlow
↳ Provides a production-ready framework to build, train & deploy machine learning models at scale.

3 AutoGPT
↳ Automates multi-step tasks by chaining LLM reasoning into autonomous agents.

4 n8n
↳ Automates workflows with a visual builder that integrates APIs, data & AI tools.

5 Ollama
↳ Runs open LLMs locally with simple commands & optimized performance.

6 Stable Diffusion WebUI
↳ Generates images locally with a powerful UI for Stable Diffusion models.

7 Hugging Face Transformers
↳ Offers thousands of pretrained models for NLP, vision & multimodal AI tasks.

8 Langflow
↳ Builds & tests LLM pipelines visually using a drag-and-drop interface.

9 Dify
↳ Creates production-ready AI apps with built-in orchestration, prompts & APIs.

10 LangChain
↳ Orchestrates LLM workflows, tools, memory & agents in applications.

11 Open WebUI
↳ Delivers a self-hosted ChatGPT-style interface with local & API model support.

12 DeepSeek-V3
↳ Provides a high-performance open-weight LLM optimized for reasoning and coding.

13 PyTorch
↳ Builds & trains deep learning models with flexible, research-friendly APIs.

14 Gemini CLI
↳ Interacts with Google’s Gemini models directly from the command line.

15 llama cpp
↳ Runs LLaMA-style models efficiently on CPUs & local hardware.

16 Whisper
↳ Transcribes & translates speech with high accuracy using deep learning.

17 ComfyUI
↳ Designs advanced image generation workflows using node-based pipelines.

18 CrewAI
↳ Coordinates multiple AI agents to collaborate on complex tasks.

19 RAGFlow
↳ Implements retrieval-augmented generation pipelines for enterprise search & QA.

20 Claude Code
↳ Assists coding with deep repository understanding & agent-style workflows.

What else should make this list?

💾 Save this for later & RT to help other software engineers learn AI.

👤 Follow @systemdesignone + turn on notifications.

[Chizi @chiziaruhoma]

Built a self-hosted sandbox orchestrator that spins up isolated Docker containers on-demand for code execution, testing, and validation across 35+ languages. Semgrep security scanning, auto-cleanup, API key auth all running on a $5 VPS behind a Cloudflare Tunnel.

[T'megha™ @temitopeakin]

@unicodeveloper Bottlers of all time...Bottlers FC of England 🏴󠁧󠁢󠁥󠁮󠁧󠁿

[T'megha™ @temitopeakin]

@coder_blvck What i love seeing , weldone @coder_blvck

[T'megha™ @temitopeakin]

@kingsheunn @ridwan_on_x Java

[Andela @Andela]

Calling all senior developers! Applications are now open for the Andela AI Engineering Bootcamp.

This intensive (and free!) program is designed to equip you with all the competencies you need to become a forward-deployed, enterprise-ready, and AI-fluent engineer. This training will combine a series of expert-led sessions with hands-on activities to make you a complete AI engineer over 10 weeks.

Duration: 10 Weeks, kicking off on Monday, February 16.

This program is open to technologists who:

✦ Have at least 8 years of experience as a software engineer.
✦ Have solid experience working with Python or Node.js, APIs, Databases, and software architecture.
✦ Good knowledge of TypeScript, modern frameworks like React or Next.js, and exposure to AI-related tools or libraries such as LangChain, OpenAI APIs, or vector databases.
✦ Can commit 40 hours per week for the next 10 weeks.
✦ A PC (not a phone) with an internet connection is required. Either Mac (Linux) or Windows.
✦ Are NOT employed full time, either with an Andela Client or externally.

Apply here: https://t.co/7d4yrTelrg

[Ibukun Amosu 🇳🇬🇬🇭 @amosuibk]

The Programmer's University (@tpuschool) is hiring a Mid Level Backend Developer Instructor (Nodejs).

Remote (Nigeria/Africa-friendly time zones)

Salary: ₦800,000 - ₦1,300,000 / month

Requirements:
Strong experience with Node.js backend development (Express or NestJS)
Solid understanding of REST API design, validation, and error handling
Experience with authentication/authorization (JWT, roles/permissions)
Experience with databases (MongoDB and/or PostgreSQL/MySQL)
Comfortable explaining technical concepts clearly to beginners
Comfortable recording videos (screen + voice) and writing clear instructions
Basic frontend experience (enough to collaborate and make minor fixes)
Reliable communication and ability to deliver consistently

Apply here: https://t.co/m3vf6GhEl5

[T'megha™ @temitopeakin]

@Pressydon @SirLeoBDasilva Sure

[Swati Ahuja @aiandchai]

I've done 40+ LLM courses. Most were a waste.

These 4 weren't:

Karpathy's Zero to Hero
How LLMs actually work. Build GPT from scratch. Non-negotiable foundation.
→ https://t.co/zYTiiKJHIg

OpenAI Cookbook
Production patterns. API best practices. Copy what ships.
→https://t.co/ypqRnNveXe

Hugging Face NLP Course
Transformers, fine-tuning, hands-on. Where theory meets code.
→ https://t.co/dHJadh8xRq

https://t.co/TFyYFfzFOG Short Courses
Bite-sized builds. Pick what you need, skip what you don't.
→ https://t.co/wYoF4XPITc

What I'd skip:

→ $2,000 bootcamps (same content, worse pacing)
→ 40-hour "comprehensive" courses (bloated with filler)
→ Anything that starts with "What is AI?" (you're past that)
→ YouTube rabbit holes (no structure, no accountability)

The pattern:

Foundation (Karpathy) → Patterns (OpenAI) → Depth (HuggingFace) → Application (https://t.co/TFyYFfzFOG)

That's the sequence. Everything else is noise.

Save for your next "where do I actually start with LLMs" spiral
Repost to save someone from another $2,000 bootcamp

[Swati Ahuja @aiandchai]

I curated 400+ LeetCode problems into 90 patterns (helped me crack Salesforce, Intuit, and Microsoft)

I know LeetCode can feel overwhelming for beginners - especially when you’re close to interviews and don’t know which questions to focus on. Blind 75/95 and similar lists are a decent starting point, but let’s be honest: solving just ~100 questions usually isn’t enough to crack top interviews.

That’s why I put together a curated sheet that organizes 360 problems into 90 core patterns.
Yes, there are other pattern-based resources out there, but you won’t find this level of granularity in patterns anywhere else. Every problem in this sheet is sourced from real interviews in the last 6 months at companies like Google, Meta, Amazon, and Uber.
I originally created this sheet for myself, and it personally helped me crack interviews at Salesforce (twice), Intuit, Microsoft, and several mid-range companies over the years.

Sharing it here in case it helps someone else in their prep journey.
https://t.co/Q3j2sr4dMq

[Ibukun Amosu 🇳🇬🇬🇭 @amosuibk]

Senior Developer Advocate

→ Fully remote
→ 4-day work week
→ Transparent salary: $157K–$194K + equity

This person will improve our API docs, create technical content, build proof-of-concept integrations, and bring real feedback from developers back into how we build.

If you're someone who gets energy from helping other people figure things out — and you happen to love APIs (and are willing to teach 'em because I'm still learning what they *really* are) — this might be the role for you.

We value diverse paths. If your background overlaps with much of this, even if not all, we want to hear from you.

Link in comments 👇🏽