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MadeWithStackKurirani direktorij profesionalno ocjenjenih aplikacija izgrađenih agentima

4.3 (6)
Daniel NikulshynRecenzirao Daniel Nikulshyn·Ažurirano srpanj 2026.

Pregled

MadeWithStack je direktorij koji skuplja aplikacije koje uglavnom-grade AI kodni agenti, a svaki popis provjerava profesionalni recenzentski proces. Ima cilj istaknuti stvarne primjere što se može poslati autonomnim i asistiranim djelovanjima agenata i ne samo pokazne ili pokazne provedbe koncepata. Za projektante nudimo prostor za izložbu projekata građen u kombinaciji s agentima te stjecanje vidljivosti među publikom koja se zanima za razvoj AI-čestice. Za posjetitelje pruža pregledljivi prikaz nastajanjuće vizure softvera razvijenog pomoću agenta, koristan za inspiraciju, referentne mjere ili pristup novim alatima koje trebate izprobati.

Ključne značajke

  • Kurirani popis aplikacija izgrađenih agentima
  • Profesionalno recenziran i ocjenjen postupak unosa
  • Pritisci za traženje i direktorij AI-pomaganog projekta
  • Put za submitovanje graditelja
  • Format izloženosti koji ističe alate i stope

Cijene

Model
Free
Ocjena
4.3 / 5 (6)

Slučajevi uporabe

Pregledite aplikacije izgrađene agentom

Graditelji mogu podnijeti aplikacije koje su uglavnom sastavljene kodnim agentima za prikazivanje među publikom koja čuti o razvoju AI-pripojenih aplikacija

Otkrijte odobreno agent-izrađeno projekte

Posjetitelji pregledaju profesionalno recenzirani katalog aplikacija izgrađenih agentima za odgonetanje stvarnih izdanja učinjenih od aplikacija ili demonstracija ili koncepta pokaznje

Benchmark agent-izrađene tokove rada

Razvojni inženjeri ili istraživači se odnose na popisirani projekte radi benchmarkiranja onoga što trenutačno mogu učiniti razumno autonome ili pomoćne agent-izrađene tokove

Nadahni se novim projektnim idejama za AI-pripojene izrade

Ispitajte kurosirane primjere stope i alata koji su upotrijebljeni u aplikacijama izgrađenim agentami za inspiraciju za nove projekte ili ocjenu ucvrstavanja

Prednosti i nedostaci

Prednosti

  • Ljudska ocjena filtrira niske kvalitete prijavljivanja
  • Fokusiran niz koji se odnosi na aplikacije izgrađene agentima
  • Uporabno referencno izdanje za trendove vezane uz razvoj AI-pripojenih aplikacija
  • Kanal otkrića za graditelje koji traže izloženost

Nedostaci

  • Uzrokovanja su stupa da bi se našli opći popis aplikacija
  • Kuriranje moguće brzine općih prijavnih obavještenja
  • Kvaliteta recenzija ovisi o standardima recenzentih

Recenzije

4.3

Prosjek iz 6 ocjena.

5
2
4
4
3
0
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1
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Prijavi se za ostavljanje recenzije.

JK

Joanna Kowalski

Mar 29, 2026

Solid for our team

We rolled this out across the team last quarter and useful reference for AI-native development trends. Submission pathway for builders fits neatly into how we already work, and curated listings of agent-built apps removed a step we used to do by hand. Narrow scope limits general app discovery, which is the main caveat, but it has held up under daily use.

Yuki Mori

Yuki Mori

Aug 13, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on showcase format highlighting tools and stacks, and focused niche on agent-built applications caught me off guard. still, I'd recommend giving it a real trial.

GO

Grace Okafor

Jul 23, 2025

Solid for our team

We rolled this out across the team last quarter and focused niche on agent-built applications. Curated listings of agent-built apps fits neatly into how we already work, and browseable directory of AI-assisted projects removed a step we used to do by hand. Curation may slow new listings, which is the main caveat, but it has held up under daily use.

Naomi Suzuki

Naomi Suzuki

Jul 22, 2025

Solid for our team

We rolled this out across the team last quarter and human review filters out low-quality submissions. Curated listings of agent-built apps fits neatly into how we already work, and showcase format highlighting tools and stacks removed a step we used to do by hand. Quality of reviews depends on reviewer standards, which is the main caveat, but it has held up under daily use.

EB

Ethan Brooks

Jul 15, 2025

Solid for our team

We rolled this out across the team last quarter and focused niche on agent-built applications. Submission pathway for builders fits neatly into how we already work, and curated listings of agent-built apps removed a step we used to do by hand. Quality of reviews depends on reviewer standards, which is the main caveat, but it has held up under daily use.

Elena Rossi

Elena Rossi

May 31, 2025

Use it every day

Honestly didn't expect to like it this much. Curated listings of agent-built apps is exactly what I needed, and discovery channel for builders seeking exposure. I do wish narrow scope limits general app discovery, but I reach for it almost every day now and it just clicks.

Pitanja

Who is MadeWithStack most useful for?

It's aimed at builders wanting visibility for agent-assembled projects and visitors seeking inspiration, benchmarking, or tools to try in AI-native development. Its narrow focus on agent-built apps makes it less suitable for general app discovery.

Asked by Marcus Bell · Feb 24, 2026

How do listings get approved, and how fast is the process?

Each submission goes through a professional review and vetting process to filter out low-quality entries. Because curation is human-led, new listings may take longer to appear compared to open directories.

Asked by Tariq Aziz · Jan 13, 2026

What kinds of apps are listed on MadeWithStack?

MadeWithStack catalogs applications built primarily by AI coding agents, focusing on real shipped products rather than demos or proofs of concept. Listings span tools and projects assembled through autonomous or assisted agent workflows.

Asked by Kwame Mensah · Dec 10, 2025

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