Technology

Current AI Coding Tools Ke Saath Problem

Woh Code Generate Karte Hain, Lekin Systems Nahi Samajhte

Aaj ke AI coding assistants ne impressive results achieve kiye hain—code auto-complete karna, functions generate karna, languages ke beech translate karna. Lekin woh sab ek fundamental limitation share karte hain: woh software ko text ke roop mein treat karte hain generate karne ke liye, na ki systems ke roop mein samajhne ke liye.

Software engineering ek text generation problem nahi hai. Yeh ek system reasoning problem hai.

interactive seemaen diagnostics

Context Problem

Codebases mein hazaron files ke across millions lines hote hain. Current tools ise simple retrieval ke through bridge karne ki koshish karte hain, lekin software mein relevance textual similarity nahi hai—yeh causal relationships, dependency chains, aur architectural boundaries ke baare mein hai.

diagnostic_runner.sh

$ yugnex run trace --target=./src

[suchna] repository architecture trace nishpadit kar raha hai...

[chetavni] file anukramanika 512 par sandarbh seema pahunch gai hai.

[vifal] context_overflow: stack aakaar 1,048,576 bytes manak sandarbh window se adhik hai.

[gambhir] parsar ka garbhpat ho gaya. paramparik llm sistm-vyapi sambandhon ko hal karne mein vifal rahata hai.

[YUGNEX samadhan] cozal context sabastrate par punah rooting...

[safalta] karan graph trace purn. 48,091 filein lagatar cash nodes ke saath anukramit.

hamara starit drishtikon

Generalization Par Specialization

Software engineering ke alag-alag aspects ko fundamentally alag tarah ke reasoning ki zarurat hoti hai. Sab kuch ek single model mein compress karne ke bajaye, hum specialized AI components use karte hain—har ek software reasoning ke specific domains ke liye design kiya gaya—ek engineering team ki tarah saath mein kaam karte hue.

live telemetry graph

[ast parsar agent] =======> [karan solver agent]
                                   ||
                                   \/ 
[sarvasammati agent] <======== [refacter agent]
sthiti: vishesh sahyogatmak tark onlin.

sahyogatmak tark

Software decisions ko aksar competing concerns ke beech trade-offs ko weigh karne ki zarurat hoti hai. Hamari architecture specialized components ko context share karne, assumptions ko challenge karne, aur structured coordination ke through consensus ki taraf kaam karne mein enable karti hai.

sistm-vyapi samajh

Software understanding multiple levels par operate karti hai: syntax, semantics, architectural patterns, design intent, aur system-wide properties. Hum layered reasoning use karte hain jahan alag components abstraction ke alag levels par operate karte hain.

Retrieval Se Beyond Context

Disconnected code snippets ko pull karne ke bajaye, hum system relationships ke dynamic representations banane ke liye approaches develop kar rahe hain—sirf code ko capture nahi karte, balki dependencies, invariants, aur architectural boundaries ke web ko bhi.

swayatt vishleshak sarvasammati

suraksha aur refactoring chintaon par bahas karne wale yugnex ke malti-agent sarvasammati panel ko sakriya karne ke liye code lainon par hover karen.

Active_routes.js - alert nodes ke saath howar/clik lainen

const getActiveProfiles = async (req, res) => {

const query = `SELECT * FROM users WHERE status = '${req.query.status}'`;

const users = await db.execute(query);

const enrichedUsers = [];

for (const user of users) {

const profile = await db.execute(`SELECT * FROM profiles WHERE user_id = ${user.id}`);

enrichedUsers.push({ ...user, profile });

}

res.json(enrichedUsers);

};

SQL injection bhedyata

upyogkarta input ko sidhe SQL query string mein interpol karne se hamlavaron ko durbhavnapurn SQL command inject karne aur pramanikaran ko bypass karne ya anadhikrit talikaon ko dekhne ki anumati milti hai.

yugnex auto-fix anushansa

const query = "SELECT * FROM users WHERE status = ?";
const [users] = await db.execute(query, [req.query.status]);

agent sankalp bahas

vastukardirect sql query interpolation ka pata chala. yah hamare suraksha maanakon ka ullanghan hai.

suraksha lekha parikshaksthiti mapdandon ke madhyam se durasth shoshan sambhav hai. pratibaddh avaruddh.

developerdb.execute(query, [status]) ka upyog karke parameteryukt binding mein query ko phir se likhna.

Fark

vartmaan upkaran

Code generate karein → Syntax ke liye optimize karein → Context limits ke andar kaam karein → General-purpose architectures

Hamara Approach

Systems samjhein → Architecture ke baare mein reason karein → Dynamic representations banayein → Software engineering ke liye purpose-built