[{"data":1,"prerenderedAt":555},["ShallowReactive",2],{"site-schema":3,"article-en-do-you-still-need-a-software-company-in-ai-era":93,"article-related-en-do-you-still-need-a-software-company-in-ai-era":541},{"@context":4,"@graph":5},"https://schema.org",[6,72,84],{"@type":7,"@id":8,"name":9,"alternateName":10,"legalName":15,"foundingDate":16,"numberOfEmployees":17,"taxID":18,"url":19,"logo":20,"founder":21,"contactPoint":23,"address":37,"location":43,"sameAs":63},"Organization","https://joinx.co/#organization","JoinX哲煜科技",[11,12,13,14],"JoinX","TWJOIN","哲煜科技","哲煜科技股份有限公司","JoinX Co., Ltd.","2016-04-28",80,"43774383","https://joinx.co","https://joinx.co/images/logo-with-name.png",{"@id":22},"https://joinx.co/#person-jack-lee",[24],{"@type":25,"contactType":26,"url":27,"telephone":28,"email":29,"areaServed":30,"availableLanguage":33},"ContactPoint","customer service","https://joinx.co/contact-us","+886-2-8771-9095","service@joinx.co",[31,32],"TW","JP",[34,35,36],"zh-Hant","en","ja",{"@type":38,"streetAddress":39,"postalCode":40,"addressLocality":41,"addressRegion":42,"addressCountry":31},"PostalAddress","民生東路二段170號8樓","104","台北市中山區","台灣",[44,51,57],{"@type":45,"name":46,"address":47},"Place","JoinX 台中辦公室",{"@type":38,"streetAddress":48,"postalCode":49,"addressLocality":50,"addressRegion":42,"addressCountry":31},"台灣大道二段360號21樓C室","40453","台中市北區",{"@type":45,"name":52,"address":53},"JoinX 高雄辦公室",{"@type":38,"streetAddress":54,"postalCode":55,"addressLocality":56,"addressRegion":42,"addressCountry":31},"民族一路80號2樓之一(B4)","807","高雄市三民區",{"@type":45,"name":58,"address":59},"JoinX 東京辦公室",{"@type":38,"streetAddress":60,"postalCode":61,"addressLocality":62,"addressCountry":32},"東五反田5-22-37 Office Circle N 五反田 9樓","141-0022","東京都品川區",[64,65,66,67,68,69,70,71],"https://www.crunchbase.com/organization/twjoin","https://www.facebook.com/JoinX.TW","https://tw.linkedin.com/company/%E5%93%B2%E7%85%9C%E7%A7%91%E6%8A%80","https://www.youtube.com/c/joinstuido%E5%93%B2%E7%85%9C%E7%A7%91%E6%8A%80","https://medium.com/twjoin","https://www.104.com.tw/company/1a2x6bjomb","https://clutch.co/profile/twjoin","https://www.goodfirms.co/company/twjoin",{"@type":73,"@id":22,"name":74,"alternateName":75,"jobTitle":76,"worksFor":77,"url":78,"sameAs":79},"Person","李秉哲","Jack Lee","創辦人暨執行長",{"@id":8},"https://jack.joinx.co",[80,81,82,83],"https://www.instagram.com/jack88.podcast/","https://www.threads.net/@jack88.podcast","https://joinx.co/jack88/","https://www.linkedin.com/in/jacklee-taiwan/",{"@type":85,"@id":86,"url":19,"name":9,"alternateName":87,"publisher":88,"inLanguage":89},"WebSite","https://joinx.co/#website",[11,13,9],{"@id":8},[90,91,92],"zh-Hant-TW","en-US","ja-JP",{"id":94,"title":95,"body":96,"category":505,"cover":506,"dateModified":507,"description":508,"extension":509,"faq":510,"hasCoverTitle":531,"locale":35,"meta":532,"navigation":531,"need":533,"path":534,"seo":535,"sources":536,"stem":537,"takeaways":536,"time":538,"type":539,"__hash__":540},"content/en/article/do-you-still-need-a-software-company-in-ai-era.md","AI Writes Code Now: Do You Still Need a Software Company?",{"type":97,"value":98,"toc":472},"minimal",[99,106,109,112,117,120,139,148,152,241,244,248,251,256,259,263,266,270,278,282,285,324,327,331,334,338,341,344,347,351,354,358,361,365,368,385,388,392,395,398,402,406,409,413,416,420,423,427,430,434,437,441,444,448,451,455,458,462,465,469],[100,101,102],"p",{},[103,104,105],"strong",{},"AI can already write code that runs, but what businesses really pay for has never been just code. It is turning vague requirements into a system that can operate securely and that someone is accountable for.",[100,107,108],{},"The honest answer first: if what you need is a small personal tool, a short-term campaign page, a data-cleanup script, or a concept prototype, your own staff working with AI can very likely do it. You do not need to bring in a software company for every requirement.",[100,110,111],{},"But once a system starts to involve multi-user permissions, customer data, payments, cross-system integration, regulations, or ongoing operations, \"it runs\" is only the starting point. At that stage, what a business needs is not just code generation, but judgment, integration, and accountability.",[113,114,116],"h2",{"id":115},"which-work-can-ai-coding-replace","Which work can AI coding replace?",[100,118,119],{},"AI is well suited to accelerating:",[121,122,123,127,130,133,136],"ul",{},[124,125,126],"li",{},"Building boilerplate for common pages, APIs, and data processing.",[124,128,129],{},"Explaining existing code, suggesting refactoring directions, and filling in documentation.",[124,131,132],{},"Drafting test cases, test data, and edge cases from a specification.",[124,134,135],{},"Comparing error logs and organizing possible causes and the order in which to investigate them.",[124,137,138],{},"Quickly turning clear requirements into interactive prototypes for discussion.",[100,140,141,142,147],{},"These capabilities will make in-house teams more productive and will also push software companies to improve their processes. For how JoinX actually works, see ",[143,144,146],"a",{"href":145},"/en/article/ai-assisted-development-process/","Our AI-assisted development process",".",[113,149,151],{"id":150},"what-is-the-difference-between-a-demo-and-a-system-you-can-operate","What is the difference between a demo and a system you can operate?",[153,154,155,171],"table",{},[156,157,158],"thead",{},[159,160,161,165,168],"tr",{},[162,163,164],"th",{},"Dimension",[162,166,167],{},"Quick AI demo",[162,169,170],{},"Operable business system",[172,173,174,186,197,208,219,230],"tbody",{},[159,175,176,180,183],{},[177,178,179],"td",{},"Requirements",[177,181,182],{},"Validates the main screens and the idea",[177,184,185],{},"Rules, exceptions, roles, and acceptance are traceable",[159,187,188,191,194],{},[177,189,190],{},"Architecture",[177,192,193],{},"Prioritizes finishing fast",[177,195,196],{},"Accounts for scalability, performance, cost, and technical debt",[159,198,199,202,205],{},[177,200,201],{},"Security",[177,203,204],{},"Often uses test data and simplified permissions",[177,206,207],{},"Least privilege, secrets management, vulnerabilities, and auditing",[159,209,210,213,216],{},[177,211,212],{},"Integration",[177,214,215],{},"Mock data or a single API",[177,217,218],{},"Handles legacy systems, timeouts, retries, and data consistency",[159,220,221,224,227],{},[177,222,223],{},"Quality",[177,225,226],{},"The main flow runs",[177,228,229],{},"Automated testing, monitoring, recovery, and change management",[159,231,232,235,238],{},[177,233,234],{},"Responsibility",[177,236,237],{},"Used by its author",[177,239,240],{},"A clear SLA, incident contacts, and long-term operations",[100,242,243],{},"The value of a demo is that it lowers the cost of discussion; the problem arises when a business mistakes it for a finished product.",[113,245,247],{"id":246},"what-hidden-costs-does-vibe-coding-most-often-create","What hidden costs does vibe coding most often create?",[100,249,250],{},"Common hidden costs come from rework, security, and ongoing operations. The earlier a prototype is used as a production system, the more likely its unverified technical debt is to surface all at once after launch.",[252,253,255],"h3",{"id":254},"the-first-bill-the-production-environment-and-security","The first bill: the production environment and security",[100,257,258],{},"Prototypes often hard-code keys, use excessive permissions, or fail to separate test data from production data. When login, roles, logging, backups, and vulnerability handling are only added just before launch, the cost naturally surfaces.",[252,260,262],{"id":261},"the-second-bill-changing-requirements","The second bill: changing requirements",[100,264,265],{},"AI can quickly add features in the direction already taken, but if the data model and module boundaries have not been designed, every change may affect more areas. The time saved early on ends up being spent tracing knock-on effects.",[252,267,269],{"id":268},"the-third-bill-a-key-person-leaves","The third bill: a key person leaves",[100,271,272,273,277],{},"If a system has only a large volume of chat logs and no architecture or deployment documentation, the next person to take it over still has to understand it from scratch after the original author leaves. In that situation, you can first use our ",[143,274,276],{"href":275},"/en/article/legacy-system-takeover-guide/","guide to taking over, refactoring, and rewriting legacy systems"," to decide how to handle it.",[113,279,281],{"id":280},"should-a-business-develop-with-ai-in-house-or-outsource-to-a-software-company","Should a business develop with AI in-house or outsource to a software company?",[100,283,284],{},"The key question is whether someone inside the company can take long-term responsibility for architecture, integration, security, deployment, and operations. If the system will become part of a core process, the boundaries of responsibility usually matter more than how fast the code is written.",[286,287,288,294,300,306,312,318],"ol",{},[124,289,290,293],{},[103,291,292],{},"How big is the impact of an error?"," A mistake in a personal report and a mistake in an order amount carry completely different responsibilities.",[124,295,296,299],{},[103,297,298],{},"Does it involve sensitive data?"," Personal data, employee, medical, financial, and trade-secret information needs more thorough governance.",[124,301,302,305],{},[103,303,304],{},"How many systems does it need to connect to?"," Every API brings issues of permissions, versions, timeouts, and data consistency.",[124,307,308,311],{},[103,309,310],{},"Is someone in-house responsible for the long term?"," Being able to build it does not mean being able to keep patching and upgrading it two years later.",[124,313,314,317],{},[103,315,316],{},"What does a day of downtime cost?"," When revenue, customer service, the supply chain, or regulatory compliance is affected, invest in proportionate engineering.",[124,319,320,323],{},[103,321,322],{},"Can the acceptance criteria be written down clearly?"," If success cannot be defined, both outsourcing and building in-house are likely to fail, so start with requirements discovery.",[100,325,326],{},"Low-risk, short-lived tools whose output can be checked manually are well suited to being built in-house. Systems that span departments, support core operations, or carry external commitments on service quality should have full engineering capability behind them; that capability can come from an in-house, external, or hybrid team.",[113,328,330],{"id":329},"what-value-can-software-companies-still-offer-in-the-ai-era","What value can software companies still offer in the AI era?",[100,332,333],{},"The value of software companies is shifting from code output to requirement decisions, system integration, and maintainable delivery. AI improves efficiency, but it does not automatically supply accountability, governance, or operational context.",[252,335,337],{"id":336},"judgment","Judgment",[100,339,340],{},"Turning stakeholders' descriptions into scope, priorities, and acceptance criteria, and making trade-offs among speed, cost, risk, and future expansion.",[252,342,212],{"id":343},"integration",[100,345,346],{},"Handling legacy systems, third-party APIs, networks, identity, data migration, and exception flows. This work is usually much closer to a project's real difficulty than building one more screen.",[252,348,350],{"id":349},"accountability","Accountability",[100,352,353],{},"Taking responsibility for architecture, code review, security, deployment, and incident handling, and establishing traceable versions and recovery methods, rather than blaming problems on AI.",[252,355,357],{"id":356},"compounding-efficiency","Compounding efficiency",[100,359,360],{},"Mature teams link requirements, specifications, code, tests, and documentation into a repeatable process. AI makes that system faster, and the improvement carries over to every later change rather than only saving coding time on the first version.",[113,362,364],{"id":363},"when-evaluating-vendors-look-beyond-the-ai-demo","When evaluating vendors, look beyond the AI demo",[100,366,367],{},"Ask vendors to answer:",[121,369,370,373,376,379,382],{},[124,371,372],{},"Which data can go into AI tools, and which cannot?",[124,374,375],{},"How is AI-generated code reviewed, tested, and traced?",[124,377,378],{},"Who signs off on architecture, security, and go-live?",[124,380,381],{},"How are requirement changes and third-party API failures handled?",[124,383,384],{},"If the original team leaves, can documentation, source code, and deployment permissions be handed over completely?",[100,386,387],{},"If the only answers are \"the model is powerful\" or \"development is fast,\" they have not yet addressed what business delivery requires.",[113,389,391],{"id":390},"conclusion-what-you-need-is-not-more-code-but-accountable-engineering","Conclusion: what you need is not more code, but accountable engineering",[100,393,394],{},"AI has made building the first version of software easier than ever, and that is a good thing. Businesses can validate requirements earlier and keep more small tools in-house.",[100,396,397],{},"Software companies will not disappear automatically because of AI, but their value has to change: proving their work less through the amount of code produced, and more through the quality of their judgment, their integration capability, and their long-term accountability. Businesses also do not have to choose between \"build everything in-house\" and \"outsource everything\"; the best way to work together is to place risk and responsibility with the party that has the capability to handle them.",[113,399,401],{"id":400},"frequently-asked-questions-about-software-development-in-the-ai-era","Frequently asked questions about software development in the AI era",[252,403,405],{"id":404},"will-software-outsourcing-be-cheaper-in-the-ai-era","Will software outsourcing be cheaper in the AI era?",[100,407,408],{},"Repetitive hours may go down, but the requirements, integration, security, acceptance, and accountability that production systems need do not go away.",[252,410,412],{"id":411},"can-ordinary-employees-build-business-systems-with-ai","Can ordinary employees build business systems with AI?",[100,414,415],{},"For low-risk personal tools, yes. Once multiple users, sensitive data, or core processes are involved, full engineering governance is still needed.",[252,417,419],{"id":418},"can-an-mvp-built-with-ai-be-handed-over-to-a-software-company","Can an MVP built with AI be handed over to a software company?",[100,421,422],{},"Yes, but first run a health check on the code, licenses, dependencies, data, and deployment, then decide whether to extend, refactor, or rebuild.",[252,424,426],{"id":425},"how-can-you-tell-whether-a-vendor-really-knows-how-to-develop-with-ai","How can you tell whether a vendor really knows how to develop with AI?",[100,428,429],{},"Look at a traceable process for requirements, review, testing, and documentation, not just a demo of code being generated on the spot.",[252,431,433],{"id":432},"is-ai-generated-code-reliable","Is AI-generated code reliable?",[100,435,436],{},"It can be very good, and it can also be wrong; quality has to be established through engineering review, automated testing, and security checks.",[252,438,440],{"id":439},"do-companies-with-an-in-house-engineering-team-still-need-to-outsource","Do companies with an in-house engineering team still need to outsource?",[100,442,443],{},"Not necessarily. Depending on expertise, deadlines, and risk, an external team can fill in integration or specific delivery capabilities.",[252,445,447],{"id":446},"can-no-code-or-low-code-replace-custom-development","Can no-code or low-code replace custom development?",[100,449,450],{},"They suit standard processes and departmental tools; complex integration, high performance, or special permissions may still require custom development.",[252,452,454],{"id":453},"will-ai-completely-replace-software-outsourcing","Will AI completely replace software outsourcing?",[100,456,457],{},"It will replace some repetitive work, but it will not eliminate businesses' need for judgment, integration, security, and accountability.",[252,459,461],{"id":460},"who-is-responsible-when-a-system-fails","Who is responsible when a system fails?",[100,463,464],{},"The contract and operations process should define service, response, recovery, and each party's responsibilities; responsibility cannot be shifted onto AI.",[252,466,468],{"id":467},"what-is-joinxs-position-in-the-ai-era","What is JoinX's position in the AI era?",[100,470,471],{},"JoinX uses AI to make delivery more efficient, while its engineering team takes responsibility for architecture, integration, security, and maintainable outcomes.",{"title":473,"searchDepth":474,"depth":474,"links":475},"",2,[476,477,478,484,485,491,492,493],{"id":115,"depth":474,"text":116},{"id":150,"depth":474,"text":151},{"id":246,"depth":474,"text":247,"children":479},[480,482,483],{"id":254,"depth":481,"text":255},3,{"id":261,"depth":481,"text":262},{"id":268,"depth":481,"text":269},{"id":280,"depth":474,"text":281},{"id":329,"depth":474,"text":330,"children":486},[487,488,489,490],{"id":336,"depth":481,"text":337},{"id":343,"depth":481,"text":212},{"id":349,"depth":481,"text":350},{"id":356,"depth":481,"text":357},{"id":363,"depth":474,"text":364},{"id":390,"depth":474,"text":391},{"id":400,"depth":474,"text":401,"children":494},[495,496,497,498,499,500,501,502,503,504],{"id":404,"depth":481,"text":405},{"id":411,"depth":481,"text":412},{"id":418,"depth":481,"text":419},{"id":425,"depth":481,"text":426},{"id":432,"depth":481,"text":433},{"id":439,"depth":481,"text":440},{"id":446,"depth":481,"text":447},{"id":453,"depth":481,"text":454},{"id":460,"depth":481,"text":461},{"id":467,"depth":481,"text":468},"Technology Insights","/images/blog/do-you-still-need-a-software-company-in-ai-era.webp","2026/08/27","AI can write code, but the risks in business systems lie in architecture, security, integration, and operations. This article honestly analyzes what AI coding can and cannot replace, and the new criteria for deciding between building in-house and outsourcing.","md",[511,513,515,517,519,521,523,525,527,529],{"question":405,"answer":512},"Repetitive code, documentation, and testing can be accelerated, but requirement uncertainty, system integration, security, acceptance, and operational responsibility do not go away. A reasonable quote should reflect the hours saved while keeping the engineering and governance work a production system needs.",{"question":412,"answer":514},"Employees can use AI to build personal automations or low-risk prototypes. Once a system involves multiple users, personal data, payments, permissions, or core data, it still needs architecture, testing, deployment, monitoring, and a clearly accountable owner.",{"question":419,"answer":516},"Yes. Before taking it over, the company usually needs to review the code, licenses, dependencies, data model, security, and deployment approach, and then decide whether to extend it directly, partially refactor it, or rebuild it. A prototype provides evidence of requirements but does not guarantee it is fit to go live as is.",{"question":426,"answer":518},"Ask the vendor to show a traceable process from requirements to code, tests, and documentation, and to explain how AI output is reviewed, how sensitive data is protected, who is responsible for errors, and whether the team could carry on if the tools were withdrawn.",{"question":433,"answer":520},"AI can produce high-quality snippets, but it can also introduce nonexistent APIs, outdated packages, or security flaws. Reliability depends on context, engineering review, automated testing, vulnerability scanning, and formal acceptance; whether the code runs is not enough to judge it.",{"question":440,"answer":522},"If the in-house team has sufficient product, architecture, development, testing, and operations capability, it can do the work itself. The value of an external team may lie in filling skill gaps, accelerating specific phases, taking on integration, or owning delivery risk that the company cannot carry in the short term.",{"question":447,"answer":524},"Standard forms, simple approvals, and departmental tools are well suited to no-code or low-code. Where processes vary widely, integration is complex, or performance and permission requirements are high, custom code may still be needed. What matters is lifecycle cost, not the label on the development method.",{"question":454,"answer":526},"AI will replace some repetitive work and change how quotes are structured, but businesses still need someone to own requirement decisions, architecture trade-offs, system integration, security, and post-launch responsibility. The value of outsourcing will shift from the amount of code produced to engineering outcomes.",{"question":461,"answer":528},"The contract and operations process should clearly define the scope of service, incident severity levels, response times, data responsibilities, recovery methods, and each party's contact points. Whether the code was written by people or by AI, responsibility cannot be shifted onto the tool.",{"question":468,"answer":530},"JoinX uses AI collaboration to make requirements, development, testing, and documentation more efficient, while its engineering team remains responsible for architecture, integration, security, and delivery. The goal is not to sell more code, but to deliver maintainable systems more efficiently.",true,{},"custom software","/en/article/do-you-still-need-a-software-company-in-ai-era",{"title":95,"description":508},null,"en/article/do-you-still-need-a-software-company-in-ai-era","2026/07/24","blog","RV5zoHufzc9OF0MpDKn02I2sUo2QZVa5gjINdO7OPVY",[542,547,551],{"slug":543,"title":544,"time":545,"cover":546,"need":533},"ai-assisted-development-cost-reduction","What Is AI-Assisted Development? Lower Cost, Higher Quality","2026/09/01","/images/blog/ai-assisted-development-cost-reduction.webp",{"slug":548,"title":549,"time":545,"cover":550,"need":533},"lab-type-development-guide","Lab-Type Development vs. Fixed-Price Contracts: Costs, Fit","/images/blog/lab-type-development-guide.webp",{"slug":552,"title":553,"time":545,"cover":554,"need":533},"offshore-development-failure-patterns","5 Offshore Development Failure Patterns and Countermeasures","/images/blog/offshore-development-failure-patterns.webp",1792411069915]