Ngaba unayo ikhowudi, akukho AI 
 
 TL;DR: Ukuba ungenza ukucacisa yonke ikhowudi yakho, akugqiba. TL;DR: Ukuba ungenza ukucacisa yonke ikhowudi yakho, akugqiba. Iingxaki ezininzi 🙂 Uya kuthetha kunye nokufaka ikhodi eyenziwe yi-AI ngqo kwiprojekthi yakho ngaphandle kokufunda kwakhona. Uyakwazi ukufumana i-AI ngaphandle kwe-verification kunye ne-create Yintoni – umntu omnye – uya kufuneka uqhagamshelane emva. Ukusebenza Uyazi ukuba ikhowudi isebenza ngenxa yokuba ngokufanelekileyo (okanye ngokufanelekileyo kakhulu ukuze unamathise abantu). Ukucinga I-Ship A Xa umncedisi we-AI inikeza iibhodi ezininzi ngenxa yokuba, ngoko, i-coding emininzi. Manual Ukuhlolwa Uyachitha i-AI output njenge-code esekelwe ekukhiqizeni kunye nokuthumela ngaphandle kokufunda okokuqala. Ukuba unayo iinkcukacha zekhodi, uye uyanele izicelo ezininzi ze-pull (ngokukwazi kwenziwa yi-AI) ezibonakalayo njengoko ukubuyekeza i-novel. Thina siphinde: I-AI ayidinga iziphumo zakho, Yaye ufuna ukugcina umsebenzi wakho kwaye kubonakala njengomfuneko kwinkqubo ye-software engineering. you Iingxaki ezijoliswe 
 
 
 
 
 
 
 
 
 
 
 Ukhuseleko kunye neengxaki: I-AI ikhiqiza ikhowudi nge-Non sanitized inputs, SQL injection, XSS, Email, Packages Hallucination, okanye i-hardcoded credentials I-Logic Errors: I-AI inokufuneka iimfuno zakho kwaye isixazululo lwabo I-Technical Debt: Ikhowudi ebonakalayo isebenzisa iimfashini ezidlulileyo okanye ivela iingubo zokusebenza I-Lost Accountability: Unako ukucacisa ikhowudi awukwazi ukucacisa Iingxaki ze-Hidden: Iingxaki ezibonakalayo ekukhiqizeni ziquka i-30-100x ngaphezulu ukuguqulwa Izixhobo zenzululwazi: Uthandayo iimvakalelo zenzululwazi xa uxhumane izixazululo I-Team friction: Abalandeli bakho zithintela ixesha ukufumana iingxaki ezinokufuneka I-Productivity Paradox: I-AI ivula i-bottleneck kusuka ku-writing ukuya ku-integration Ukuphazamiseka: Ukuphazamiseka kweqela leqela xa ikhowudi engabikho I-Noisier Code: I-AI-authored PRs zihlanganisa i-1.7x iingxaki kunokuba i-human-only PRs. Ukucinga Indlela yokwenza ️ 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Qhagamshelane i-AI ukuvelisa ikhowudi ebonakalayo usebenzisa i-language ye-English Nceda uqhagamshelane ngalinye i-AI emveliso, uqhagamshelane kwaye uqhagamshelane ukuba kufuneka. Qinisekisa ukuba isisombululo uqhagamshelane nezidingo zakho. Qhagamshelana ne-edge cases kunye neengxaki Thola iingxaki zokhuseleko (injection, auth, data exposure) Ukubuyekeza ikhowudi kwi-locally nge-scenaries ezininzi Yenza i-linters yakho, i-prettifiers, kunye ne-security scanners Ukususa i-debug code okanye iingcebiso engekho kufuneka Refactor ikhowudi ukuxhaswa ne-style ye-team yakho Ukongeza okanye ukuhlaziywa kwezifundo ze-functionality entsha (ngokufunda i-AI ukunceda) Yenza umyalezo owaziweyo wokubhalisa into efanelekileyo Yiba kuphela emva kokufumana i-code Uya kuthatha umsebenzi wakho (ngoku) Iimpawu Uyakwazi ukufumana iimfuno ngaphambi kokufika kwimveliso. Ngaba ufumane ikhowudi ukuba uqhagamshelane. Uyakwazi ukuhambisa iimveliso zakho. Uyakwazi ukufundisa kwi-copilot yakho kwaye uye kwenziwa kwi-developer engcono kwinkqubo. Ukulungiselela ukuvelisa ubungakanani. Uyakwazi ukuvelisa i-team collaboration kunye ne-confidence. Ukulungiselela Njengoko i . Ukucaciswa kwamanzi I-Moltbook Incident Unxibelelana iimveliso zokusebenza kwi-long-term maintenance. Uyakwazi ukugcina ubumfihlo yakho kunye neengxaki. Ngaba unomdla onomdla onomdla onomdla onomdla onomdla onomdla onomdla. Ngaba unemibuzo. Umzekelo I-AI assistants ezifana ne-GitHub Copilot, i-ChatGPT kunye ne-Claude zincedisa ngokukhawuleza. Zonke izixhobo zibonisa ikhowudi evela kwi-natural language prompts kwaye . Vibe Ukucinga Iimodeli ze-AI ziquka i-probabilistic, akukho i-logic. Zibonisa i token elandelayo ngokusekelwe imibala. Xa usebenza kwiinkqubo ezinxulumeneyo, i-AI ingaba kuthatha iingxaki ye-edge ye-specific i-human only knows. I-Manual Review yindlela kuphela yokufaka i-gap phakathi kwe-"code that looks good" kunye ne-"code that is correct". I-AI ayikwazi ukufumana i-logic yakho yebhizinisi okanye Kwimeko yakho Umzekelo wakho. I-real-world ye-bijection Ukucinga I-AI ayikwazi ukufumana iimfuno zakho ze-security (ukuba unayo i-explicit okanye usebenza i-skill). I-AI ayikwazi ukuhlola ikhowudi kwi-environment yakho eyodwa. Ngaba uye ngalinye kwi-codebase yakho. responsible imveliso ukususela i-AI code ebhalisiweyo iindleko iimveliso zeemilioni. Ukucinga I-Code Review ibonisa iingxaki ezininzi zokhuseleko ezikhoyo izixhobo zokhuseleko. I-Organization yakho ibhalisele kwi-code yakho. Oku kunceda ukuba uqhagamshelane ikhowudi ngamanzi okanye usebenzisa i-AI assist. Ukusebenza ngokushesha iimveliso Bad Prompts class DatabaseManager:
    _instance = None # Singleton Anti Pattern
    def __new__(cls):
        if cls._instance is None:
            cls._instance = super().__new__(cls)
        return cls._instance
    def get_data(self, id):
        return eval(f"SELECT * FROM users WHERE id={id}") 
        # SQL injection!

    ## 741 more cryptic lines
 iimveliso Good Prompts from typing import Optional
import sqlite3

class DatabaseManager:
  def __init__(self, db_path: str):
    self.db_path = db_path

  def get_user(self, user_id: int) -> Optional[dict]:
    try:
      with sqlite3.connect(self.db_path) as conn:
        conn.row_factory = sqlite3.Row
        cursor = conn.cursor()
        cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
        row = cursor.fetchone()
        return dict(row) if row else None
    except sqlite3.Error as e:
        print(f"Database error: {e}")
        return None

db = DatabaseManager("app.db")
user = db.get_user(123)
 Iingxaki ☀️ Ingaba ungenza i-AI xa iimiphumo ziyafumaneka ekukhiqizeni. Umntu umnqweno, akukho AI. I-AI-generated code ingangena iinkqubo ze-licensing yeenkampani yakho. I-AI ingasetyenziswa iibhayisikili ezidlulileyo okanye iimveliso ezidlulileyo. Ikhowudi esebenzayo ingaba asebenzayo iinkonzo zeqela yakho. Ufuna ukufumana ikhowudi ukuchithwa emva koko. I-developer ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel ye-inthanel. Zonke iimodeli ze-AI ziquka kwi-repository ezisemthethweni kwaye ziya kuba zithunyelwe iimodeli. Uhlobo [X] I-Semi-Automatic Ukucaciswa ✔️ Nceda usebenzise le tip ukuba Ukuguqulwa kwe-code. Ungayifaka kwakhona nangona i-refactor "enobungcali". every iintsuku ️ 
 
 Ukucaciswa Umgangatho [X] Ukuqala Iimpawu ze-Tips 
 
 
 
 
 
 I-Self-Review Code yakho ngaphambi kokufunda i-peer review Yenza izifundo ze-AI-generated functions Imibuzo ye-Document AI-Assisted Code Ukusetyenziswa kwe-Static Analysis kwi-Code Generated Nceda uqhagamshelane Ukuhlaziywa I-AI Assistants ikhawuleza isantya yakho yokubhalisa. Ngaba unayo Ngaba uqhagamshelane every line Manual ukubuyekezwa catch ukuba izixhobo zokusebenza ezamahala. Ukuhlolwa Code Ngaphambi kokuba i-AI code generators ziye kwenziwa kwi-mainstream, isebenzo esihle kakhulu yaba ukwenza i-code ngaphambi kokufunda i-peer review. Ukucaciswa Ngaba ufunde ngakumbi xa ufune iinketho ze-AI kunye nokufumana i-"ngoko" phantsi kwelinye. I-Reputation yakho kuxhomekeke kwizinga le-code, ayikho ngokukhawuleza xa unako ukufumana i-code. Qinisekisa i-code esithunyelwe – igama lakho lithunyelwe kwi-code. Qhagamshelana yonke into. Qhagamshelana nathi ngokufanelekileyo. I-self yakho elandelayo uyazi. Yiba incentive, ukwenza iingxaki ezincinane kakhulu, kwaye . Yenza iinkcukacha zakho ezininzi Zonke iinkcukacha i️ https://hackernoon.com/code-smell-313-workslop-in-ai-assisted-programming https://hackernoon.com/how-to-find-the-stinky-parts-of-your-code-part-xxxviii https://hackernoon.com/code-smell-300-package-hallucination https://martinfowler.com/articles/code-review.html https://learning.oreilly.com/library/view/perform-code-reviews/9781098172657/ch01.html https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-generation-report https://medium.com/@mozaman/the-productivity-paradox-of-ai-why-commits-and-prs-dont-tell-the-story-ceb68a453f54 https://google.github.io/eng-practices/review/ https://www.atlassian.com/agile/software-development/code-reviews https://pragprog.com/titles/tpp20/the-pragmatic-programmer-20th-anniversary-edition/ https://standards.ieee.org/standard/1028-2008.html Zaziwa ngokuba 
 
 
 
 
 
 Human-in-the-Loop Code Ukuhlolwa Ukubuyekezwa kwe-Code I-AI-Assisted Development Accountability LLM Ukusebenza Validation Copilot Code Ukuhlolwa izixhobo 
 
 
 
 
 
 
 SonarQube (Ukuhlolwa kwe-static) Snyk (ukukhangisa ukhuseleko) I-ESLint / i-Pylint (i-linters) GitLab / GitHub (i-code review platforms) I-Semgrep (i-pattern based scanning) I-CodeRabbit / I-AI-assisted code ukubuyekeza I-Disclaimer Iingxaki ezaziwayo apha ziquka yam. Ndingathanda ukuba ndingathanda ukuba ndingathanda ukuba ndingathanda ukuba ndingathanda. Ndisebenzisa iintlobo ze-AI ze-proofreading ukuze ngcono ezinye iintlobo. Nceda siphinde imibuzo kunye ne-dialogue. Ndicinga iziphumo zayo nge-30 iminyaka kwi-software industry, i-25 iminyaka yokufunda, kunye nokubhala iiyure ezininzi ze-500 kunye nenqaku. Le nqaku iindawo ye- Iingxoxo I-Tip ye-Coding https://maximilianocontieri.com/ai-coding-tips

This story contains AI-generated text. The author has used AI either for research, to generate outlines, or write the text itself. 

Winner of Noonies 2020 for the award Hacker Noon Contributor of the Year - REFACTORING.

Intambo ye-AI ye-Coding 006 - Ukuhlolwa Kwi-Every Line ngaphambi kokufumana

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