Mich_Aji

Python Programmer👨‍💻||Machine Learning Enthusiast 🧠👨‍💻 || Music Lover || OAU Upcoming EEE Engineer ⚡ || Carrier of His Presence

[TechCrush.pro @TechCrushHQ]

AI is changing the way we work, create, and solve problems—but how do you actually position yourself to benefit from it?

Join us for an insightful session on AI Automation & AI Prompt Engineering, where industry professionals will share practical knowledge, career opportunities, and the skills needed to thrive in the AI economy.

Whether you’re a student, tech enthusiast, or professional looking to stay ahead, this conversation is for you.
Tonight, 24th June 2026 by 7 PM WAT on X
https://t.co/bXyKGzh3an
Set a reminder and come ready to learn.
#TechCrush #AIAutomation #PromptEngineering

[Mich_Aji @AjiMich]

@dlifeof_jay TRI AI Saturdays. 🤗🤗🤗🤗

[Tech with Mak @techNmak]

Someone finally documented how to actually use Claude Code.

22K+ stars. claude-code-best-practice.

Direct from Boris Cherny and team:

→ Always use plan mode, give Claude a way to verify
→ Ask Claude to interview you using AskUserQuestion tool
→ Use Git Worktrees for parallel development
→ /loop - schedule recurring tasks for up to 3 days
→ Code Review - fresh context windows catch bugs the original agent missed
→ /btw - side chain conversations while Claude works
→ Make phase-wise gated plans with tests for each phase
→ Use cross-model (Claude Code + Codex) to review your plan
→ CLAUDE[.]md should target under 200 lines per file
→ Use commands for workflows instead of sub-agents
→ Have feature-specific sub-agents with skills instead of general QA or backend engineer
→ Vanilla Claude Code is better than complex workflows for smaller tasks
→ Take screenshots and share with Claude when stuck
→ Use MCP to let Claude see Chrome console logs
→ Ask Claude to run terminal as background task for better debugging
→ Use cross-model for QA - e.g. Codex for plan and implementation review

The community workflows included:
→ Cross-Model (Claude Code + Codex) Workflow
→ RPI (Research Plan Implement)
→ Ralph Wiggum Loop for autonomous tasks
→ Github Speckit (74K stars)
→ obra/superpowers (72K stars)
→ OpenSpec OPSX (28K stars)

The billion-dollar questions it addresses:
→ What should you put inside CLAUDE[.]md?
→ When should you use command vs agent vs skill?
→ Why does Claude ignore CLAUDE[.]md instructions?
→ Can we convert a codebase into specs and regenerate code from those specs alone?

The daily habits:
→ Update Claude Code daily
→ Start your day by reading the changelog
→ Follow r/ClaudeAI, r/ClaudeCode on Reddit

Repost it. Bookmark it.

[Mich_Aji @AjiMich]

@InduTripat82427 book

[Indu Tripathi @InduTripat82427]

This AI System Design guide teaches RAG better than most courses.

And I'm giving it away for free (Only for First 4500)

Inside:
• RAG fundamentals & chunking strategies
• Hybrid retrieval (BM25 + vector search)
• Production-level RAG architecture
• Evaluation & RAGAS metrics
• Hallucination reduction techniques
• End-to-end LLM system design

How to get it:
• Follow me (must so I can DM)
• RT + Like
• Comment "book"

I'll dm you

[Mich_Aji @AjiMich]

@DanclemUIUX Congratulations Chief.! 🥳🥳🥳🥳🥳🥳

[Mich_Aji @AjiMich]

@Jhoie__ This is Brilliant

[Santiago @svpino]

I used to charge $20,000 per week to come and help your team fix your software architecture and revive your failed projects.

A big part of that was finding and fixing bugs.

It's mind-blowing to realize you can now do a lot of the same work for $200.

Here is a tip:

Check out Max at https://t.co/RH3QGl4Dev.

Max is an "AI software engineer" that does something I haven't seen done yet:

1. It helps you build your application
2. The agent then loads and uses the app autonomously to find and fix bugs 👀

I think this is new, and it's got huge potential!

Max loads your app, clicks around, types, and uses it to test it.

This is different from other agents that only test and find bugs by looking at the code.

After using the app, Max works for 30 minutes straight, fixing every problem it finds.

Right now, Anything is running a $100K hackathon, so this is the perfect opportunity to try this out:

• You can build a mobile app using the platform
• Post on X and tag @anything

You can find more details here:

https://t.co/GlBwHpqlBH

Thanks to the Anything team for the help and for collaborating with me on this post.

[Mich_Aji @AjiMich]

@HopeRemy @Benzinga Amazing

[Mich_Aji @AjiMich]

@Ai_here202 Resume

[Niloofar ✈️ icml @niloofar_mire]

I'm recruiting students for fall 2026 thru @LTIatCMU & @CMU_EPP, in:

1. Privacy & security of LLMs, coding, long horizon & embodied agents (robotics)
2. Tiny local llms
3. AI for scientific reasoning, esp. chemistry
4. Latent reasoning
5. anything YOU are passionate about!

[Google for Developers @googledevs]

Host your own LLM server for free using #Kaggle notebooks and Ollama. 💻

AI GDE Dimitre Oliveira shows you how to simplify deployment and enable remote access for your models.

Read the guide → https://t.co/uuBDfbxgCD
Watch the video → https://t.co/OtRqJDkL6A

[Mich_Aji @AjiMich]

@Tech_babby @BuildHubb @bsong_HR Hi

[Data Community Africa @DataFestAfrica]

We’re excited to welcome Favour James, ML Engineer, as a panelist at #DataFestAfrica2025! 🎤

A two-time Google Summer of Code participant, she now works with the Cytoscape Consortium, using LLMs to build knowledge graphs that accelerate scientific discovery.

[Mich_Aji @AjiMich]

@BharukaShraddha DSA

[Mich_Aji @AjiMich]

@Krishnasagrawal Thanks, I got the notes...

[Mich_Aji @AjiMich]

@Tech_babby Hi

[Mich_Aji @AjiMich]

@omoalhajaabiola Doings... 🎊🎊🎊👌✨🥳

[anshuman @athleticKoder]

You're in a ML Engineer interview at Perplexity, and the interviewer asks:

"Your RAG system is hallucinating in production. How do you diagnose what's broken - the retriever or the generator?"

Here's how you can answer:

[Mich_Aji @AjiMich]

@Krishnasagrawal ML