Overview
Poolside yakanyatso pihwa mari yeAI yekutanga kuvaka nheyo mhando dzakanyanya kusimudzira software. Bheji rayo guru nderekuti kudzidziswa pane chaiyo software-engineering mhinduro, kwete chete scraped code, inoburitsa mamodheru ayo kunze-code general-chinangwa LLMs.
Poolside AI Code Generation inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Yakavambwa muna 2023 naJason Warner (aimbova GitHub CTO) naEiso Kant, Poolside yakatanga kuvaka mhando dzemuganho dzakanangana nekodhi chete pane chatbots. Yayo siginecha zano ndeye Reinforcement Kudzidza kubva kuCode Execution Feedback (RLCEF): pane kungofanotaura chiratidzo chinotevera, iyo modhi inonyora kodhi, inomhanyisa ichipesana nemiedzo uye vanosanganisa, uye inodzidza kubva kana yakanyatsoshanda. Poolside yakasimudza ingangoita madhora mazana matanhatu nemakumi matanhatu emamiriyoni emadhora mu2024 Series B pamutengo wemabhiriyoni matatu emadhora, nevanotsigira vanosanganisira Bain Capital Ventures uye gare gare Nvidia. Iyo kambani inotengesa kumabhizinesi anoda macode modhi akaiswa munzvimbo yavo, achisimbisa kuvanzika, pa-nzvimbo kana yakavanzika-gore yekutambira, uye vabatsiri vanotariswa kune emukati memutengi repositori kwete yekugovaniswa yeruzhinji API.
Technical Insight
RLCEF inobata iyo compiler uye test suite sechiratidzo chemubairo otomatiki. Iyo modhi inogadzira mhinduro dzevamiriri, inodziita, uye yekusimudzira kudzidza inosundidzira uremu kune zvinobuda zvinounganidza nekupasa bvunzo. Nekuti kurongeka kunogona kutariswa zvakarongeka, Poolside inogona kuburitsa zvinobudirira isina muganho wekugadzira yekudzidzisa mhinduro pasina manyorero evanhu, scalable loop iyo yakachena inotevera-chiratidzo pretraining pane static code repositories haigone kupa yega.
Mastering Poolside AI Code Generation
Poolside yakanyatso pihwa mari yeAI yekutanga kuvaka nheyo mhando dzakanyanya kusimudzira software. Bheji rayo guru nderekuti kudzidziswa pane chaiyo software-engineering mhinduro, kwete chete scraped code, inoburitsa mamodheru ayo kunze-code general-chinangwa LLMs. Poolside AI Code Generation inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Poolside AI Code Generation semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, jekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Poolside AI Code Generation inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kuendesa yakavanzika kodhi mubatsiri mukati mebhangi yega zvivakwa saka proprietary source code haimbosiya firewall.
Kugadzira uye kugadzirisa otomatiki bvunzo dzeyuniti nekumhanyisa mubhokisi rejecha usati wazvikurudzira kune vanogadzira.
Kubatsira bhizinesi kugadzirisa hombe yenhaka codebase ine mazano emuenzaniso akaiswa kumaraibhurari emukati ekambani iyoyo.
Kupa autocomplete uye chat-based coding inobatsira kunyatso-tuta pane chaiyo mutengi repositori uye macoding magungano.
Maitiro Ekuita
Poolside AI Code Generation mukuita
Kuendesa yakavanzika kodhi mubatsiri mukati mebhangi yega zvivakwa saka proprietary source code haimbosiya firewall.
Kuendesa yakavanzika kodhi mubatsiri mukati mebhengi rezvivakwa kuitira kuti proprietary sosi kodhi haimbosiya firewall Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Poolside AI Code Generation mukuita
Kugadzira uye kugadzirisa otomatiki bvunzo dzeyuniti nekumhanyisa mubhokisi rejecha usati wazvikurudzira kune vanogadzira.
Kugadzira uye otomatiki-kusimbisa mayunitsi bvunzo nekumhanyisa mubhokisi rejecha usati wazvikurudzira kune vanogadzira Matimu anowanzo kuwana mhedzisiro iri nani kana vatsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Poolside AI Code Generation mukuita
Kubatsira bhizinesi kugadzirisa hombe yenhaka codebase ine mazano emuenzaniso akaiswa kumaraibhurari emukati ekambani iyoyo.
Kubatsira bhizinesi kuvandudza kodhi yenhaka hombe ine mazano emuenzaniso akagadziridzwa kumaraibhurari emukati ekambani iyo Zvikwata zvinowanzowana mhedzisiro iri nani kana vachitsanangudza zvikumbaridzo kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Poolside AI Code Generation mukuita
Kupa autocomplete uye chat-based coding inobatsira kunyatso-tuta pane chaiyo mutengi repositori uye macoding magungano.
Kupa autocomplete uye chat-based coding rubatsiro kurongeka pane chaiyo mutengi marepositori uye macoding makongisheni Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.