Python Space

Full-time Python Engineer

- Sharing daily insights on Python, ML and AI.

- DM/[email protected] for collaboration

- Open for opportunities

[Python Space @python_spaces]

I just built a production-ready code snippet sharing app in under 30 minutes.

Next.js frontend. React components. Syntax highlighting for 50+ languages. Shareable links. Dark mode UI.

All from one prompt to MiniMax M3.

Here's the full build breakdown 🧵👇

[Afiz ⚡️ @itsafiz]

Microsoft just dropped AI Engineer Coach.

Analyze your AI coding assistant usage across any harness, one dashboard.

All analysis runs locally. No data leaves your machine.

Here's what it does 🧵👇

What makes it different:

It reads your local AI session logs and turns them into actionable insights.

→ Track progress with practice scores and weekly trends
→ Detect 45+ anti-patterns across prompt quality, session hygiene, and code review
→ Measure AI-generated code volume by language, workspace, and model
→ Discover repeated prompts and turn them into reusable skills
→ Score context health with agentic readiness checks

The full feature set:

Dashboard: Practice scores, daily activity charts, workspace stats

Timeline: Gantt-style session view with overlap detection

Output: Code volume by language, model usage breakdown

Anti-Patterns: Five practice score cards with severity ratings and concrete actions

Skill Finder: Discover prompt patterns from your usage

Context Health: Workspace context maps and instruction-file audits

Plus a Learning Center with personalized quizzes and an XP-based progression system.

All privacy first:

→ Read-only analysis, never modifies your files
→ Everything runs on your machine
→ No telemetry, no data collection
→ Optional AI features use VS Code's built-in Copilot API only when you invoke them

Installation:

Download the VSIX from releases, install in VS Code:

code --install-extension ai-engineer-coach-*.vsix

Open command palette and run: AI Engineer Coach: Open Dashboard

That's it.

2.1k stars in a month.

Open source, MIT licensed.

Check it out: https://t.co/ZDwKbO2HBU

[Afiz ⚡️ @itsafiz]

Apodex-1.0 @Apodex_AI just dropped!

Self-evolving heavy-duty solver. 150 agents across 15,000 steps. Independent verification on every attempt.

SOTA on BrowseComp, FrontierScience, SuperChem. Open weights available.

Check it out: https://t.co/SnrlTuif9t

[Python Space @python_spaces]

Apodex-1.0 @Apodex_AI changed deep-research AI with a self-evolving heavy-duty solver.

It coordinates 150 agents across 15,000 steps. Verifies through independent auditors. Improves each attempt by critiquing the last.

Built for research problems that have no existing answer.

A step-by-step guide 🧵 👇

[Python Space @python_spaces]

I hope you've found this thread helpful.

Follow me @python_spaces for more.

Like/Repost the quote below if you can:

[Python Space @python_spaces]

Apodex-1.0 @Apodex_AI changed deep-research AI with a self-evolving heavy-duty solver.

It coordinates 150 agents across 15,000 steps. Verifies through independent auditors. Improves each attempt by critiquing the last.

Built for research problems that have no existing answer.

A step-by-step guide 🧵 👇

[Python Space @python_spaces]

Apodex-1.0 @Apodex_AI changed deep-research AI with a self-evolving heavy-duty solver.

It coordinates 150 agents across 15,000 steps. Verifies through independent auditors. Improves each attempt by critiquing the last.

Built for research problems that have no existing answer.

A step-by-step guide 🧵 👇

[Python Space @python_spaces]

Check it out: https://t.co/6QtV4bAxo9

[Afiz ⚡️ @itsafiz]

Big News 🔥

Ollama now supports Cline CLI, an open coding agent for your editor and terminal.

Cline can read your repository, make file changes, run commands, and show code diffs for review. @ollama

A step-by-step guide 🧵 👇

[Python Space @python_spaces]

I hope you find this post useful.

https://t.co/OF5FcG6YM8

[Python Space @python_spaces]

Train your LLM from scratch!

A straightforward method for training your LLM, from downloading data to generating text.

A step by step guide 🧵👇

[Python Space @python_spaces]

Train your LLM from scratch!

A straightforward method for training your LLM, from downloading data to generating text.

A step by step guide 🧵👇

[Python Space @python_spaces]

Here is the link:

https://t.co/tXwg3FiIgp

[Python Space @python_spaces]

Train your LLM from scratch!

A straightforward method for training your LLM, from downloading data to generating text.

A step by step guide 🧵👇