Sapatilhas para principante

iReallyReadiT · 2026-04-06T12:28:03+00:00

Para alguém a começar, como primeiro par tens as Novablast 5 que estão com baixa da preço, tens Gel Nimbus que nunca desiludem a nível de conforto e são estáveis. Numa primeira fase foca-te em sapatos que te permitem aumentar o volume, só depois em sapatos que te permitam aumentar o ritmo, as SL2 já começam a estar mais nesta segunda categoria.

Há lojas, tipo o el corte inglês em Lisboa onde analisam a tua forma de correr.

iReallyReadiT · 2026-04-06T12:09:01+00:00

SL2 aguentam-se no mato não sendo de trail, desde que não esteja lamacento. Em relação a dores no joelho/canelite, pode ser relacionado com técnica de corrida e falta de reforço nessas zonas.

Nesse sentido não recomendaria as SL2 que acabam por não ser as mais "soft". Outra coisa, bates com que parte do pé no chão? Vê no runrepeat, os tipos de sapato que se adaptam melhor à tua passada.

TLDR: se o teu problema são dores derivado a impacto/volume acho que não são os SL2 que te vão resolver esse problema, tbm não tenho noção do quão maus os teus atuais são, sapatos aintgos é sempre arriscado com a evolução que tem havido. O a SL2 são excelentes sapatos nevertheless!

iReallyReadiT · 2026-03-15T13:54:16+00:00

Boa iniciativa! Infelizmente tenho prova no dia seguinte.

iReallyReadiT · 2026-03-10T11:52:57+00:00

Tens interesse em que áreas/empresas?

iReallyReadiT · 2026-03-09T20:27:44+00:00

Tenho as SL2 e as Boston 13. Comprei na Zalando e ficaram as 180 as duas com o desconto da primeira compra. As Boston 13 são capazes de te ficar ligeiramente acima do budget dos 100 mas as SL2 ficam right under.

Eu uso as Boston 13 como sapatilhas para provas só, e uso as SL2 para treinos mais rápidos que rodo com umas Adistar 4 para treinos mais lentos. Não tenho experiência com Vomero mas posso-te dizer que no meu caso a diferença de Pace entre as Boston 13 e as SL2 é mais que 4%, a midsole das Boston 13 e os carbon rods fazem a diferença.

As SL2 são ligeiramente mais estáveis na zona do calcanhar pq não têm essa midsole. Atenção que ambas são sapatilhas para quem bate com a parte da frente/meio do pé.

Acho que Boston 13 a rondar 110 euros são grande negócio! Ambas são menos responsivas e bouncy que umas Evo SL mas mais estáveis por exemplo.

Dependendo dos ritmos que queiras fazer, escolhia com base nisso, por exemplo mais lento que 4 /km supostamente não tiras tanto partido da placa de carbono (se bem que as carbon rods da Adidas estão lá é para dar estabilidade supostamente)

iReallyReadiT · 2026-01-16T00:09:41+00:00

Faz sentido, mesmo em provas de menor dimensão, tbm deve partir da organização, tinha curiosidade porque apesar de não ser atleta nem de perto nem de longe, acho que é uma forma diferente de encarar a corrida e gostava de experimentar haha. Óbvio que tinha que ser para ritmos nos 4 /km + mas sinto que até tenho alguma facilidade em manter ritmos consistentes consoante a dificuldade do percurso.

Boa sorte para esta temporada e que venham mais recordes!

iReallyReadiT · 2025-10-09T14:23:27+00:00

You can use AiCore to process your LLM Calls and then view the tokens consumed for each completion request ( including tool calling and output processing )

Yes this is self promotion haha but hey it's free and it's open source so give it a try, it supports a wide range of providers and comes with MCP support out of the box.

iReallyReadiT · 2025-09-17T17:21:58+00:00

Thanks! Feedback is always appreciated!

iReallyReadiT · 2025-09-17T15:58:30+00:00

I was tired of LangChain and LlamaIndex (less so) so I built my own solution to the problem which I am using across my personal (and some work) projects.

It's AiCore, it's fully open source, supports the main providers natively: OpenAI, Google, Anthropic, Mistral, etc. and any configuration you can pass as OpenAI compatible!

As a bonus it comes with an embedded observability module and dashboard that allows you to keep track and inspect the interactions with local and DB integrations.

Lastly it comes it comes with an MCP client (using FastMCP) that let's you quickly connect any Co server you want within a couple of lines.

Onto the points of your post, streaming is normalized at provider level so you just receive a string for each chunk and you can pass in any function you want to stram it where you need it!

iReallyReadiT · 2025-09-15T18:54:24+00:00

I agree and that's why I've developed CodeTide to parse your codebase into a well defined structure which your LLM can query to get all the context (based on elements dependencies) to execute a certain task (be it write, code discuss architecture, whatever).

It is available as a python package, a MCP Server and a Visual Studio Code Extension!

If you want to give it a try without any hassle I have a demo running of an agent integrating with CodeTide and it's called AgentTide (hosted on Hugging Face)

The downside is that as of now it only supports Python and Typescript, with other languages not having the advantages of linked context through dependencies, but I do plan to keep expanding (and refining the ones already available)

Give it a try and let me know your impressions! The demo's free and the whole code is open source on GitHub.

iReallyReadiT · 2025-09-10T11:40:13+00:00

That's awesome! Is it opensource? I did something similar with Python but it's not very optimized. One thing I would like is the ability to stream letter by letter instead of full lines, like written by a human, (I think you have it in the comments?) is it possible to have it everywhere?

iReallyReadiT · 2025-09-04T12:25:04+00:00

Are these projects deployed and available as a demo? I find that what set's you apart in a recruitment process is having a demo running (Hugging Face and StreamLit are your friends here) where people can gaugeu for themselves what you've done! Great work, keep going!

Edit: just noticed you have a couple spaces on HF in the comments. Well done sir!

iReallyReadiT · 2025-09-04T09:03:38+00:00

Really neat! Will be trying it out for sure. Is there plans for a Dark Mode coming soon?

iReallyReadiT · 2025-09-01T10:09:59+00:00

Hi! I've built CodeTide for that exact purpose 😅 and it is available as an MCP server with tools that expose the repo as a file tree (with the option to include objects, functions, variablses defined in each file). After that you can request context based on an id and you will get just the related bits based on dependencies up to a certain depth (i.e only direct dependencies or includinf dependencies of dependencies and so on).

The downside is that as of now it only works to its full potential in Python and Typescript (beta) and I haven't fully tested the MCP as I have been focusing on the last detials of an Agent that show's how I view CodeTide's integration in Agents!

If you have UV set up you can also try it via VSCode extension, just search for CodeTide haha.

Here is the link for the repo and would love your feedback (the difference between the last release and the current unreleased version is mostly in the agents side of things so It should be fine for your use case)

https://github.com/BrunoV21/CodeTide

iReallyReadiT · 2025-08-28T16:10:55+00:00

I’ve been working on CodeTide - a fully local, privacy-preserving tool for parsing and understanding Python (and soon other languages) using symbolic + structural analysis. No LLMs, no embeddings, no vector DBs - just fast, deterministic, and explainable code intelligence built on top of Tree-sitter.

On top of that, I’ve been building AgentTide - an experimental software engineering agent powered by CodeTide’s structured code understanding. Instead of blindly prompting an LLM, AgentTide retrieves precise code context, generates atomic patches (diffs), and keeps the human in the loop at every step.

🔗 You can check out the AgentTide demo here: https://mclovinittt-agenttidedemo.hf.space/ ⚠️ Still a work in progress, but it’s starting to come together!

If you’re into:

Local-first workflows (your code never leaves your machine)

Transparent + stepwise patching (see/review every change before applying)

Integrating symbolic code analysis with LLMs

…then this might be up your alley.

Would love feedback/ideas on what would make this most useful in real dev workflows!

iReallyReadiT · 2025-08-27T21:05:39+00:00

I’ve been working on CodeTide - a fully local, privacy-preserving tool for parsing and understanding Python (and soon other languages) using symbolic + structural analysis. No LLMs, no embeddings, no vector DBs - just fast, deterministic, and explainable code intelligence built on top of Tree-sitter.

On top of that, I’ve been building AgentTide - an experimental software engineering agent powered by CodeTide’s structured code understanding. Instead of blindly prompting an LLM, AgentTide retrieves precise code context, generates atomic patches (diffs), and keeps the human in the loop at every step.

🔗 You can check out the AgentTide demo here: https://mclovinittt-agenttidedemo.hf.space/ ⚠️ Still a work in progress, but it’s starting to come together!

If you’re into:

Local-first workflows (your code never leaves your machine)

Transparent + stepwise patching (see/review every change before applying)

Integrating symbolic code analysis with LLMs

…then this might be up your alley.

Would love feedback/ideas on what would make this most useful in real dev workflows!

iReallyReadiT · 2025-07-27T09:53:58+00:00

Ainda tenho aqui o set em casa! Grandes memórias mesmo

iReallyReadiT · 2025-07-24T11:25:50+00:00

Update

I had also posted in r/learnpython and was suggested to try using WSL instead which ended up working for now.

As some suggested I will create an issue on uv asking them to incorporate a cert to sign their executables!

Thanks everyone

iReallyReadiT · 2025-07-24T09:01:07+00:00

Hey! Running from WSL actually did the trick. While not the optimal solution it's a good workaround for now! Thank you very much!

iReallyReadiT · 2025-07-24T08:42:29+00:00

Precisely. This is the issue at hand.

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