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On-Premises AI · Patented · Docs-As-Code

ForgeDocTransformCode intoKnowledge

Proprietary patented AI algorithms analyze your code and transform it into clear, complete, and secure documentation.proprietary patentedclear, complete, and secure documentation.

Try ForgeDoc

Transform Code into Knowledge · On-Premises AI · 100× Faster · Patented Technology · 100% Accuracy · Docs-as-Code · Zero Data in Cloud · Transform Code into Knowledge · On-Premises AI · 100× Faster · Patented Technology · 100% Accuracy · Docs-as-Code · Zero Data in Cloud · Transform Code into Knowledge · On-Premises AI · 100× Faster · Patented Technology · 100% Accuracy · Docs-as-Code · Zero Data in Cloud · Transform Code into Knowledge · On-Premises AI · 100× Faster · Patented Technology · 100% Accuracy · Docs-as-Code · Zero Data in Cloud · Transform Code into Knowledge · On-Premises AI · 100× Faster · Patented Technology · 100% Accuracy · Docs-as-Code · Zero Data in Cloud · Transform Code into Knowledge · On-Premises AI · 100× Faster · Patented Technology · 100% Accuracy · Docs-as-Code · Zero Data in Cloud ·

Target Sectors:

Medium & Large Enterprises

System Integrators

Financial Sector

Public Administration

Software Houses

Industry 4.0

Interactive Demo

From code to documentation

Drag the slider from left to right to see the transformation in real time.

LinkedinClient.cs → AI documentation

ForgeDoc

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public LinkedinClient(bool refreshCookies = false,

Dictionary<string, string>? proxies = null,

string cookiesDir = "")

{

try

{

List<CookieInfo>? cookieInfo = LoadCookiesFromJson("www.linkedin.com_cookies.json");

if (cookieInfo == null) return;

foreach (var cookie in cookieInfo)

{

long secondsPart = (long)cookie.ExpirationDate;

double fractionalPart = cookie.ExpirationDate - secondsPart;

DateTime expirationDate = DateTimeOffset.FromUnixTimeSeconds(secondsPart).UtcDateTime;

expirationDate = expirationDate.AddMilliseconds(fractionalPart * 1000);

handler.CookieContainer.Add(new Cookie(cookie.Name ?? string.Empty,

cookie.Value, cookie.Path, cookie.Domain)

{

Expires = expirationDate,

HttpOnly = cookie.HttpOnly,

Secure = cookie.Secure

});

if (cookie.Name == "JSESSIONID")

{

csrfToken = string.IsNullOrWhiteSpace(cookie.Value)

? string.Empty : cookie.Value.Trim('"');

}

client.DefaultRequestHeaders.Clear();

foreach (var header in REQUEST_HEADERS)

{

client.DefaultRequestHeaders.Add(header.Key, header.Value);

}

client.DefaultRequestHeaders.Add("Csrf-Token", csrfToken);

if (proxies != null)

{

handler.Proxy = new WebProxy(proxies["http"]);

}

catch (Exception) { throw; }

}

private List<CookieInfo>? LoadCookiesFromJson(string filePath)

{

try

{

using (var reader = new StreamReader(filePath))

{

var jsonString = reader.ReadToEnd();

return JsonConvert.DeserializeObject<List<CookieInfo>>(jsonString);

}

catch (Exception) { throw; }

}

public async Task AuthenticateAsync(string username, string password)

{

try

{

await RequestSessionCookiesAsync();

SetSessionCookies(handler.CookieContainer);

var payload = new FormUrlEncodedContent(new[]

{

new KeyValuePair<string, string>("session_key", username),

new KeyValuePair<string, string>("session_password", password),

new KeyValuePair<string, string>("JSESSIONID", csrfToken)

});

var res = await client.PostAsync(

$"{_LINKEDIN_BASE_URL}/uas/authenticate", payload);

var responseString = await res.Content.ReadAsStringAsync();

var data = JsonConvert.DeserializeObject<JObject>(responseString);

if (data?["login_result"]?.ToString() != "PASS")

{

throw new ChallengeException(data?["login_result"]?.ToString());

}

if (res.StatusCode == HttpStatusCode.Unauthorized)

{

throw new UnauthorizedException();

}

if (!res.IsSuccessStatusCode)

{

throw new Exception("Authentication failed.");

}

await FetchMetadataAsync();

}

catch (Exception) { throw; }

}

private async Task RequestSessionCookiesAsync()

{

try

{

var res = await client.GetAsync(

$"{_LINKEDIN_BASE_URL}/uas/authenticate");

cookies = handler.CookieContainer;

}

catch (Exception) { throw; }

}

private void SetSessionCookies(CookieContainer sessionCookies)

{

try

{

cookies = sessionCookies;

var cookieCollection = cookies.GetCookies(

new Uri($"{_LINKEDIN_BASE_URL}/uas/authenticate"));

csrfToken = cookieCollection["JSESSIONID"].Value.Trim('"');

client.DefaultRequestHeaders.Add("Csrf-Token", csrfToken);

}

catch (Exception) { throw; }

}

public async Task<string> MakeRequestAsync(string uri)

{

try

{

var res = await client.GetAsync($"{_API_BASE_URL}{uri}");

return await res.Content.ReadAsStringAsync();

}

catch (Exception) { throw; }

}

LinkedinClient

public classProgetto: Linkedinautenticazione

1. Scopo e Responsabilità

Gestisce sessioni HTTP, cookies e autenticazione per interagire con l'API di LinkedIn in modo autenticato e sicuro.

- Gestione Sessioni - HttpClient con CookieContainer per mantenere lo stato tra le richieste

- Autenticazione - credenziali username/password → token di sessione

- Interazione API - richieste con cookies e header di autenticazione appropriati

- Gestione Cookies - caricamento e mantenimento dei cookie, incluso il token CSRF

2. Architettura e Pattern

Segue un approccio Singleton con pattern Factory Method implicito per HttpClient e CookieContainer. Architettura a tre strati.

- SRP - un solo motivo per cambiare: gestione sessione LinkedIn

- OCP - aperta alla modifica tramite costruttore e parametri

- DIP - dipende solo dai componenti interni, non da classi concrete

3. Dipendenze Principali

HttpClient

Istanza per richieste HTTP → configurata con HttpClientHandler + CookieContainer

FormUrlEncodedContent

Codifica payload autenticazione: session_key, session_password, JSESSIONID

HtmlDocument + JsonConvert

Parsing HTML e deserializzazione JSON per FetchMetadataAsync

StreamReader + JsonConvert.DeserializeObject

Lettura e deserializzazione cookies da file JSON

4. Membri Principali

LinkedinClient(refreshCookies, proxies, cookiesDir)

Costruttore: carica cookies da JSON, configura headers e proxy opzionale.

Complessità:

O(n) - n = numero di cookies nel file JSON

AuthenticateAsync(username, password) → Task

Richiede session cookies → invia POST a /uas/authenticate → verifica login_result == PASS.

Throws:

ChallengeException - login_result != PASS

UnauthorizedException - HTTP 401

Exception - generico fallimento autenticazione

LoadCookiesFromJson(filePath) → List<CookieInfo>?

Legge file JSON e deserializza in List<CookieInfo>. Eccezioni propagate al chiamante.

Complessità:

O(n) - n = lunghezza del contenuto del file JSON

SetSessionCookies(sessionCookies)

Imposta cookies di sessione, estrae JSESSIONID come csrfToken e lo aggiunge agli header.

Dipendenze:

CookieContainer · Uri · HttpRequestHeaders

FetchMetadataAsync() → Task

GET su _LINKEDIN_BASE_URL → parsing HTML → estrae applicationInstance e clientPageInstanceId.

Dipendenze:

HttpClient · HtmlDocument (parsing HTML)

RequestSessionCookiesAsync() → Task

GET su /uas/authenticate per ottenere i cookies di sessione iniziali.

MakeRequestAsync(uri) → Task<string>

Effettua richieste API autenticate all'endpoint _API_BASE_URL + uri.

Returns:

Task<string> - contenuto della risposta HTTP

Note di Sicurezza

- Token CSRF (JSESSIONID) aggiunto come header 'Csrf-Token' ad ogni richiesta

- Cookies caricati da file JSON - evitare esposizione in repository pubblici

- Tutti i metodi propagano le eccezioni al chiamante senza soppressione

- Supporto proxy configurabile per ambienti con restrizioni di rete

source

Drag the slider from left to right to see the transformation in real time.

Industry Data

What do the real data say?

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Productivity

10-12%of dev time

"Developers still spend around 10-12% of their time on documentation-related activities."

The State of Developer Ecosystem (2025) – JetBrains

Team Performance

+25%team performance

"Teams with high-quality documentation have 25% higher overall performance."

DORA Report (2023) – Google Cloud

AI & Code

+91%more time in AI review

"AI Paradox: AI writes code in seconds, but reviewing it takes 91% more time."

The AI Productivity Paradox Report (2025) – Faros AI

Value Proposition

Pain Points
vs
Value Propositions

There is no complete documentation that truly represents the system and can be managed as a project asset.

complete, reliable, and always updated

Code is transformed into complete, reliable, and always-updated documentation using the docs-as-code approach: documentation follows the software lifecycle.

Time and cost waste: documentation takes weeks, slows delivery, and depends on developers' personal knowledge.

100× faster, 99% reduction

Process 100× faster, 99% time reduction (1 day = 4.6 months), full control over software architecture.

The real challenge is how to bring AI into the enterprise without exposing sensitive data or introducing privacy risks, and without uncontrolled costs and infrastructure complexity.

Maximum confidentiality, zero investments

Maximum confidentiality, zero investments: we bring AI into your corporate perimeter with a dedicated, ready-to-use appliance, eliminating every setup and hardware cost.

The Numbers

Winning Numbers

Faster

vs. weeks wasted writing docs by hand

Zero Time Wasted

Zero time wasted

Data in cloud

Fully on-premises

0min

Setup

Plug & Play ready to use

Start performing

FAQ

Frequently Asked Questions

ForgeDoc is an on-premises AI solution that automatically analyzes source code and generates complete, up-to-date technical documentation. It uses patented proprietary algorithms in a 4-step process: repository analysis, top-down structure scanning, cross-validation to eliminate bias and hallucinations, and final documentation generation.

Yes. ForgeDoc produces technical documentation derived directly from source code analysis, formalizing implicit functional logic: process flows, business rules, and module interactions. It goes far beyond a simple high-level analysis.

ForgeDoc is the only on-premises AI solution with patented technology for generating complete technical documentation from source code using a Docs-as-Code approach. No on-premises competitor matches its level of completeness and security.

Yes. ForgeDoc is natively designed for air-gapped environments: it requires no internet connection and sends no data outside your perimeter. It is the ideal choice for high-security sectors such as Defense, Finance, and Public Administration.

ForgeDoc reduces documentation time by 99%: what would normally take 4–6 months of work is completed in 1 day. Developers reclaim up to 10–12% of their productive time previously spent writing and maintaining documentation.

ForgeDoc uses patented proprietary Machine Learning algorithms, tested and optimized across multiple LLMs to ensure maximum documentation accuracy. The AI models are deterministic, not probabilistic - meaning consistent, verifiable results with no hallucinations.

ForgeDoc plugins are designed specifically for each language and are continuously developed. We currently support over 30 languages including C#, Java, COBOL, SAP ABAP, PL-SQL, Python, C++, JavaScript, TypeScript, Go, Rust, Kotlin, and Swift. If your language is not yet supported, contact us and we will evaluate adding it to the roadmap.

ForgeDoc is designed for large enterprises, system integrators, financial institutions, public administration, and organizations in regulated sectors. It is especially ideal for organizations with large legacy codebases, distributed teams, or compliance requirements such as GDPR, NIS2, and DORA.

ForgeDoc is delivered on an NVIDIA AGX Orin appliance, the reference edge AI hardware for on-premises processing. The appliance is included on free loan with the license - no additional hardware costs. Setup takes less than 30 minutes.

The setup is designed to be plug & play: just connect the appliance to the corporate network and point it at the repository. The entire installation and configuration takes less than 30 minutes, with no advanced DevOps skills required.

ForgeDoc is available through an annual license, with different tiers based on needs and volumes.

Yes. You can request a live demo or activate a trial program on real code.

No. You can start with a trial program and then choose the most suitable plan.

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ForgeDocTransformCode intoKnowledge

From code to documentation

What do the real data say?

Pain PointsvsValue Propositions

Winning Numbers

Frequently Asked Questions

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Join our community

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Pain Points
vs
Value Propositions