Santiago Gonzalez

Software Developer, AWS, SAP Cloud Platform and Google Cloud Platform, ethical hacking 👨🏻‍💻 CEO New Inntech - buy a coffe for me

[Santiago Gonzalez @locoalien]

Decentralized Application (#Dapp) in @SAP Cloud Platform https://t.co/fNyAYW5Ret @SAPLatinAmerica @SAPCommunity

[Avi Chawla @_avichawla]

The ultimate Full-stack AI Engineering roadmap to go from 0 to 100.

Bookmark this.

This is the exact mapped-out path on what it actually takes to go from Beginner → full-stack AI engineer.

> Start with coding fundamentals.
> Learn Python, Bash, Git, and testing.
> Every strong AI engineer starts with fundamentals.

> Learn how to interact with models by understanding LLM APIs.
> This will teach you structured outputs, caching, system prompts, etc.

> APIs are great, but raw LLMs still need the latest info to be effective.
> Learn how LLMs are usually augmented with more info/patterns.
> This will teach you the basics of fine-tuning, RAG, prompt/context engineering, etc.

> Strong LLMs are useless without context. That’s where Retrieval techniques help.
> Learn about vector DBs, hybrid retrieval, indexing strategies, etc.

> Once retrieval is solid, move into RAG.
> Learn to build retrieval + generation pipelines, reranking, and multi-step retrieval using popular orchestration frameworks.

> Now, step into AI Agents, where AI moves from answering to acting.
> Learn memory, multi-agent systems, human-in-the-loop design, Agentic patterns, etc.

> Learn how to ship in production with Infrastructure.
> This will teach you CI/CD, containers, model routing, Kubernetes, and deployment at scale.

> Focus on observability & evaluation.
> Learn how to create eval datasets, LLM-as-a-judge, tracing, instrumentation, and continuous evaluation pipelines.

> Security is crucial.
> Learn how to implement guardrails, sandboxing, prompt injection defenses, and ethical guidelines.

> Finally, explore advanced workflows.
> This covers voice & vision agents, CLI agents, robotics, agent swarms, and self-refining AI systems.

This is the actual journey to becoming a full-stack AI Engineer and not just "use” AI, but designing full-stack AI systems that can survive in production.

If you need specific resources, I wrote a detailed article that provides a structured learning roadmap for AI engineers in 2026.

It covers prompting, RAG, fine-tuning, agents, MCP, evals, and inference, with guidance on what to prioritize and in what order.

Read it below.

[lis @lisaknowsai]

🔗: https://t.co/UIl1zt8tCB

[Codez @0xCodez]

Creator of Claude Code:

"100% of our pull requests at Anrtopic are run by Claude Code. 80-90% of code review too.

The feature I’m using the most for my agents is /loops. I’m not prompting Claude anymore - I’m building loops"

in 1-hour podcast, Boris shows his setup, which helps him build the #1 coding tool of this year.

Worth more than a $500 vibe-coding course.

[Hyperagent @hyperagentapp]

We wanted better design fundamentals from our agents.

So we fed them this 162-page pdf on designing with a grid system.

Now our agents use code to adhere to a grid and design beautiful layouts.

Example + skill below 👇

[arc. @arceyul]

Mythos Claude es una locura

tutorial de 12 minutos sobre cómo crear sitios web animados y listos para vender con Claude Fable 5

[Yero @Yerocode0]

Alguien en GitHub compartió realmente un montón de proyectos gratuitos que son absurdamente buenos.

Muchas de sus capacidades ya pueden reemplazar directamente ese software por el que estás pagando mensualmente.

1. TradingAgents
Marco de trading cuantitativo multi-agente con IA
https://t.co/UWt6Pf8q9z…

2. LibreChat
Una interfaz que integra ChatGPT, Claude, Gemini y otros múltiples modelos
https://t.co/wt7VvmbeF6…

3. HyperFrames
Motor de generación de video open source de HeyGen
https://t.co/5A0gx8sgbM…

4. Fincept Terminal
Versión open source del terminal de Bloomberg
https://t.co/cgGqnYEtqt…

5. MoneyPrinterTurbo
IA que genera videos cortos con un solo clic
https://t.co/Wa8KKimXTA…

6. Agentic Inbox
Asistente de correo con IA open source de Cloudflare
https://t.co/DKZ9Wr3Z4U…

7. VoxCPM
Herramienta de clonación de voz con IA
https://t.co/SDSU2AP6J5

8. Flowsint
Herramienta open source de análisis de inteligencia OSINT
https://t.co/AZLbHHvRed…

9. agent-skills
Biblioteca de habilidades de código para Claude
https://t.co/DS1Ex50UdG…

10. Nango
Plataforma open source de integración de APIs
https://t.co/a7H4DmMJnQ

estos no son proyectos de juguete.

Mucho del software por el que aún pagas mensualidades ya tiene reemplazos open source en GitHub hechos por alguien.

Las cosas realmente potentes, muchas están escondidas en GitHub.

[Raúl | Productividad & IA @Raul_IA_Prod]

https://t.co/QqdEIf6wDL

[Akshay 🚀 @akshay_pachaar]

https://t.co/YUGDPxpYvy

[Akshay 🚀 @akshay_pachaar]

The top Claude Code CLI integrations to give you superpowers:

1. GitHub

The repo stops being a folder of files and becomes something the agent actually runs.

It reads and writes issues, PRs, Actions, and releases, so it works the codebase the way an engineer does, not by editing text on disk.

This is the gap between an agent that touches code and one that actually ships it.

2. HuggingFace

This is where your models and datasets live, and the agent can reach all of it.

It pulls a base model, runs the training, and pushes the fine-tuned version back, without you ever leaving the terminal.

The whole loop happens in one place.

3. Bright Data

Web access that actually works for an agent, instead of a scraper you have to babysit.

It pulls live search, full pages, and clean data from sites that normally block bots, and now it can even build custom scrapers from the terminal.

Collect data from any website by turning prompts into ready-to-run scrapers with built-in proxies and automatic unblocking.

GitHub: https://t.co/8OciAbQykA

(don't forget to star 🌟)

4. Stripe

Payments without ever opening the dashboard.

It forwards live webhooks and fires real payment events, so the agent runs through the whole checkout instead of faking it.

The only real way to know your billing works is to run actual money through it.

5. InsForge

A full backend in one CLI.

Database, auth, storage, edge functions, hosting, and an AI gateway, all in one place instead of stitching five services together. The agent sets up the infrastructure the way a backend engineer would.

Think of it as a backend built for agents.

GitHub: https://t.co/4pPPor1tyb

(don't forget to star 🌟)

6. CodeRabbit

It reviews the agent's own code before you ever see it.

It catches bugs, security holes, and sloppy patterns while the change is still local, so nothing messy makes it into a PR.

An agent that checks its own work first is a very different teammate.

7. Playwright

It gives the agent hands in a real browser.

Click, fill forms, take screenshots, and run UI tests across Chrome, Firefox, and Safari, on the real page instead of guessing from the HTML.

Easily the most underrated way to let an agent check what it built.

8. Google Workspace

Gmail, Drive, Calendar, Sheets, and Docs through one connector.

It is built on Google's own APIs and made for agents to actually do the work, not just read it, so it can draft the reply, update the sheet, and block off the calendar in one go.

An agent that can read your inbox but can't act on it is only half useful.

9. Slack

It puts the agent right where your team already works.

It builds and runs workflows that post updates and sort through channels, so "tell me what I missed in # incidents and flag anything urgent" just happens without you switching tabs.

This is the one that makes the agent feel present instead of stuck in a terminal.

10. E2B

A safe sandbox for code the agent wrote itself.

It spins up a small isolated VM, runs the code, grabs the output, then shuts the whole thing down.

This is what lets you actually let the agent run what it writes.

GitHub: https://t.co/rzvXVzzllo

(don't forget to star 🌟)

11. Unsloth

Fast local fine-tuning without the cloud bill.

It trains LoRA and QLoRA adapters about 2x faster on a lot less VRAM, then exports to GGUF or pushes straight to the hub.

This is what turns fine-tuning from a whole project into just another step.

GitHub: https://t.co/jUhjsrUZGD

(don't forget to star 🌟)

12. ffmpeg

The media tool that does almost everything, now in the agent's hands.

Cut, convert, and pull audio or video out of just about anything in a single command.

Old, unglamorous, and still the thing every media pipeline quietly runs on.

----

That said, if you want to see how this whole stack fits together, I wrote a full deep dive on how Claude Code's harness works, what actually goes in the .claude/ folder, and how hooks, skills, and subagents come together into a real workflow.

The article is quoted below.

[Santiago Gonzalez @locoalien]

@MichLieben ADS

[Santiago Gonzalez @locoalien]

@johnvirality 100

[Swati Gupta @hrswatigupta]

https://t.co/YevO99CLuM

[UI/UX Savior @UiSavior]

Sites on the internet for design inspiration.

Web Design → https://t.co/IDTg0fRObK
Landing Pages → https://t.co/ulUYJp3EDf
Saas Websites → https://t.co/EacR7Liy9H
Navbar → https://t.co/1YHU4yfOxW
CTA Sections → https://t.co/bFOrpIgWIW
Animation → https://t.co/VfRAI7e5Ch
Mobile Apps → https://t.co/gxq43FqLG3
Brands → https://t.co/Q38cExyN5c
Icons → https://t.co/RyMj2EzdSM
Design Systems → https://t.co/s4MyCFjQSD

[GitHub Projects Community @GithubProjects]

https://t.co/OqSIPKl4yN

[Akshay 🚀 @akshay_pachaar]

Chatterbox GitHub:

(don't forget to star 🌟)
https://t.co/Mbnh8e6Sce

[Tom Dörr @tom_doerr]

Curated list of open source Flutter apps

https://t.co/CEN5MFReR3

[Tom Dörr @tom_doerr]

Connects local web servers to internet URLs

https://t.co/J6Zse8Xjqn

[GitHub Projects Community @GithubProjects]

Track real-time stock prices and set personalized alerts for free with this open-source tool

[Tom Dörr @tom_doerr]

Self-hosted alternative to Vercel and Heroku

https://t.co/GSsiHSpKtb

[Alex Prompter @alex_prompter]

How to Build AI Agents by @OpenAI

🔖 Bookmark for later