MadeWithStackUrejen imenik profesionalno pregledanih aplikacij, zgrajenih s pomočjo agentov

4.3 (6)

Pregledal Daniel Nikulshyn·Posodobljeno julij 2026

Directory Curated AI Agents Showcase Developer Tools Discovery AI-Native

Pregled

MadeWithStack je imenik, ki katalogizira aplikacije, ustvarjene predvsem s strani AI kodirnih agentov, pri čemer je vsaka objava preverjena s strokovnim preglednim postopkom. Cilj je izpostaviti realne primere, kaj lahko avtonomne in podprte delovne tokove agentov izpeljejo, namesto le demonstracij ali dokazov koncepta. Za razvijalce nudi prostor, kjer lahko predstavijo projekte, sestavljene s pomočjo agentov, in pridobijo prepoznavnost med občinstvom, ki jih zanima AI-native razvoj. Za obiskovalce pa ponuja filtriran pregled nastajajočega področja programske opreme, zgrajene s pomočjo agentov, kar je koristno za navdih, benchmarking ali odkrivanje novih orodij za preizkušanje.

Ključne funkcije

Urejeni seznami aplikacij, zgrajenih s pomočjo agentov
Profesionalni pregled in proces preverjanja
Brskalni imenik projektov, podprtih z AI
Pot za oddajo za razvijalce
Predstavitveni format, ki poudarja orodja in tehnološke sklade

Cene

Model: Free
Kategorija: Platforma za umetne inteligence agenti
Ocena: 4.3 / 5 (6)

Primeri uporabe

Predstavitev aplikacij, zgrajenih s pomočjo agentov

Razvijalci lahko oddajo aplikacije, ki jih večinoma sestavljajo AI kodirni agenti, da pridobijo vidnost med občinstvom, osredotočenim na AI-native razvoj.

Odkrijte preverjene agent projekte

Obiskovalci pregledujejo profesionalno pregledan katalog programske opreme, zgrajene s pomočjo agentov, da najdejo dejansko izdate orodje namesto demonstracij ali dokazov koncepta.

Primerjalna analiza agentnih delovnih tokov

Razvijalci in raziskovalci uporabljajo navedene projekte za primerjavo, kaj lahko trenutni avtonomni in podprti agentni delovni tokovi realno dosežejo.

Poiščite navdih za AI-native projekte

Raziskujte urejene primere tehnoloških skladov in orodij, uporabljenih v aplikacijah, sestavljenih s pomočjo agentov, da navdihnete nove projekte ali ocenite nastajajoče razvojne vzorce.

Prednosti in slabosti

Prednosti

Človeški pregled izloči slabe prispevke
Osredotočen na nišo aplikacij, zgrajenih s pomočjo agentov
Koristna referenca za trende AI-native razvoja
Kanal za odkrivanje za razvijalce, ki iščejo izpostavljenost

Slabosti

Ozko področje omejuje splošno odkrivanje aplikacij
Urejanje lahko upočasni nove vnose
Kakovost pregledov je odvisna od standardov recenzentov

Ocene

4.3

Povprečje iz 6 ocen.

Prijavi se za oddajo ocene.

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

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.

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

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.

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

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.

Vprašanja

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