Erhabor Destiny

I've been building BlazeRPC — an open-source Python library that lets you serve ML models over gRPC with minimal setup. Think FastAPI, but for gRPC. It handles proto file generation, adaptive batching, streaming, dependency injection, health checks & more. Works with PyTorch, TensorFlow, and ONNX out of the box. ⭐ Star it, contribute, or just check it out. Feedback and bug reports are very welcome! GitHub: github.com/Ifihan/blazerpc Docs: ifihan.github.io/blazerpc/

You may have heard about OpenClaw – the most viral open source project of the year. It's an agent and messaging gateway that lets you automate digital tasks through platforms like Discord. In this course, you'll learn how it works along with key security practices like using Docker-based sandboxing to protect your host system while your agent executes complex workflows. freecodecamp.org/news/openclaw-…

8+ years experience + unemployed + 40 hours a week for a bootcamp? 😭 In this economy? The opportunity cost alone is insane. Lol. Even me that is doing two masters degrees at the same time doesn’t spend 40 hours per week on school. This is a lot!

@TosinOlugbenga I think most of you forgot to read this part "Just resigned if it's too small ...". Because the lazy or "I don't care" behavior towards work is annoying. Why will you be reminded everytime that there is a standup or meeting that is even in your calendar. Very bad behavior

200k per month for a full remote job is not small, in a startup that is pre revenue. I know it’s small money for people on Twitter. Just resign if it’s too small so someone else who’s ready to work can go for it. Every scheduled meeting, someone will have to call you directly to remind you the meeting have started. Terrible corporate behavioral dispositions.

Docker with depth

WE’VE RAISED 16M! #SaveTinaFromCancer Tears in my eyes as I type this, I came out with fear and it was my last resort and only thing in my mind was to save my mum, but I couldn’t do with out you guys, my family, friends, tweeps who help rt and even donate, May the Lord bless you all abundantly! Special thanks to 2nd Corinthians 8-Charitable Foundation who gave in 7M! Thank you so much everyone! Below are all receipts from all money gathered from Naira to dollar and amount spent and what’s left. Total Naira: N16,118,695 Dollar: $621

Everyone uses AI now, but read the style guide or ask your AI to do so.

@mba_oma let's go!!!

Let’s #SaveTinaFromCancer, please help rt share and donate. GoFundMe: gofund.me/b584cd616 Oncrowder: oncrowdr.com/explore/c/6966… PALMPAY: 8075620197 DOUYE PAUL TUNGBULU Please #SaveTinaFromCancer #SaveTinaFromCancer #SaveTinaFromCancer

@GithubProjects github.com/Caesarsage/Dev…

Share your Open-source projects. Let’s connect.

Great

Lessons learned: - Prevent cycles at construction time - Runtime status > graph structure for determining readiness - Dual data structures = query efficiency - Continuous polling enables max parallelism Building distributed systems from first principles is

Topological Sort (Kahn's Algorithm): Count incoming edges (in-degree) for each task Queue all tasks with in-degree = 0 Process queue, reducing neighbors' in-degrees Add neighbors to queue when in-degree hits 0 Gives valid execution order + validates no cycles exist. (6/8)

Key challenge: Preventing cycles A → B → C → A would create an infinite loop. Solution: Validate BEFORE adding each dependency using DFS. If adding X → Y would create a path back to X, reject it. Cycles prevented at build time, not runtime. (5/8)

Thread: Building a workflow engine from scratch 🧵 I'm building a workflow engine that executes tasks in parallel while respecting dependencies. Here's how I used DAGs (Directed Acyclic Graphs) to make it work. (1/8) code: github.com/Caesarsage/dis…

Example execution flow: Initial: [A] ready (no deps) After A: [B, C] ready → run in parallel! 🚀 After B & C: [D] ready After D: Done The engine continuously discovers what can run next. (4/8)

The core problem: How do you know which tasks are ready to execute? Answer: A task is ready when ALL its dependencies have completed successfully. This changes dynamically as tasks finish. (3/8)

What's a DAG? A graph where edges have direction and no cycles exist. Think: Task A → B means "B depends on A" Example: Task A, [B, C] and D A runs first, B & C run in parallel, D runs last. (2/8)

@amiynarh Checkout the kubernetes.dev/docs/guide/ page and join the slack channel. Should be of great help. You can also join the new contributor call

Trying to contribute to Kubernetes 🤧