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InnovationAI Understanding muchidimbu

Kudzidza Kunowana AI Coding Mirayiridzo Mafaira Anopfuura Katatu

Ongororo ye1,867 repositori inoona kuti maejenti ekuraira mafaera akaunganidza mitemo nekukurumidza kupfuura vachengeti vakaabvisa, nepo zvirevo zvine musoro zvakaderedza zvakanyanya kukura mumiyedzo inodzorwa.

6 min readRead the primary source
Primary-source documentKwakanyorwa
Muparidzi
Catastrophic remembering research paper on arXiv
Source link
arxiv.orghttps://arxiv.org/abs/2608.11095
Source type
Gwaro rekutanga - chiziviso chepamutemo, bepa, faira, kana peji rebato rekutanga ratinoverenga zvakananga.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

Memory (Agent Memory)
Yakachengetwa mamiriro mumiriri weAI anoshandisa pamatanho kana masesheni kuvandudza kuenderera.
Annotation
Mazita akawedzerwa nevanhu kana metadata inoshandiswa kudzidzisa kana kuongorora mhando dzekudzidza dzemuchina.
Benchmark
Muedzo wakamisikidzwa kana dhatabheti rinoshandiswa kuyera nekuenzanisa kuita kwemuenzaniso.
Zviedze iwe pachakoAI Agents Quiz

Chii chaitika

Chinyorwa chitsva chakatumirwa Nyamavhuvhu 11 chinodoma nzira yakaonekwa yekutadza mune agentic coding repositories "catastrophic kurangarira": mafaera ekuraira kweprojekiti anoramba achiunganidza mitemo nekuti kuwedzera chenjedzo kwakachipa, uku kudzima zvakachengetedzeka mutemo wekare kunowedzera kuoma mushure mekunge chikonzero chayo chepakutanga chanyangarika.

Vatsvakurudzi vakaunganidza 247,694 hupenyu hwekuraira uye 299,440 kuzvipira-kuita shanduko kubva 1,867 yeruzhinji repositori ine mafaera akadai seCLAUDE.md. Ivo vakateedzera mirairo yemunhu kuburikidza nekugadziriswa uye vakashuma kuti mafaera akakura ne226% pamusoro pehupenyu hwavo hwavakacherekedza, vachiwedzera avhareji ye4.9 net mirairo pane imwe nzira yekuchinja. Chidzidzo ichi chinobata iwo manhamba sehumbowo hwekuunganidza kunoramba kuchiitika mumuenzaniso wayo, kwete humbowo hwekuti kuraira kwese kwanga kusiri madikanwa kana kuti mapurojekiti ekodhi ekodhi anoita zvakafanana.

The bepa's central mechanism is asymmetric evidence. Muchengeti kana mumiririri wekodhi anogona kuwedzera rairo nyowani mushure mekukanganisa pasina kugadzirisa kudyidzana kwese pakati pemitemo iripo. Gare gare kudzima kune riskier: kana kutadza kunokurudzira uye mamiriro akatenderedza anyangarika, kubvisa dhairekitori rimwe chete kungada kutarisa kuti ichiri kudzivirira kudzoreredza pasi pemisanganiswa yakawanda yemirairo yasara. Mune iyo repository data, iyo inofungidzirwa kudzima njodzi yakadonha sekuraira kwachembera, ine yakataurwa log-hazard slope ye -0.032 pachibvumirano.

Kuti vaedze mushonga unogoneka, vanyori vakagadzira mirairo-anotevera mabasa nekudzoreredza IFEval zvipingaidzo, vobva vaenzanisa zvinokurudzira zvine mirau isina chinhu nekurudziro izvo zvakachengetedzawo mapfupi mazwi achitsanangura kuti nei mutemo wega wega uripo. Mukurongeka kwavo kwakadzora, zvirevo zvisina kutaurwa zvakaunganidza 211.3% yakawandisa mirairo, nepo zvakataurwa zvinokurudzira zvakapera pa1.4% yakawandisa. Maonero acho akanga asiri mamwe mirairo yemuenzaniso; vaive compact provenance yaiitirwa kuti sarudzo dzekubvisa gare gare dziongororwe.

Chikwata chakaongororawo kuti zvidiki, zvine magwaro zviri nani zvakabatsira vamiririri kutevera mirairo. Pane yayo WildIFEval-yakatorwa bhenji, bepa rinoshuma zvakawanikwa zvinosvika 23.1 muzana mapoinzi apo pfungwa dzakachengetedzwa uye mitemo isingachashandi inogona kubviswa. Mhedzisiro idzi ndezviya zvichangobva kutumirwa, zvisina kuongororwa nevezera. Iro basa haritarise kuti makomendi ega anovandudza ese ecoding agent, repository, mutauro, kana kugadzira mafambiro.

Kwakabva mashoko: Catastrophic remembering research paper on arXiv ↗

Nei zvichikosha

Repository-level yekuraira mafaera ari kuve akasimba ekushanda ndangariro yevamiriri vekodha, saka kukura kusingadzoreki kunogona kukwidza mitengo yechiratidzo, kuchengetedza zvipingamupinyi zvechinyakare, uye kuita kuti mitemo inotonga otomatiki kodhi ichinje zvakaoma kuti vanhu vanzwisise.

Ngozi inoshanda haisi faira refu. Yese rairo inokwikwidza kutariswa kwemuenzaniso uye inogona kudyidzana nemitemo mitsva, tsananguro yezvishandiso, kodhi mamiriro, uye chikumbiro chemushandisi. Murairo wakanyorerwa kudzivirira imwe nhoroondo kukundikana kunogona kushaya basa mushure mekuchinja kwecodebase, kupesana nemutemo mutsva, kana kumanikidzira basa risina hukama. Kana pasina munhu anogona kugadzira patsva kuti nei iripo, sarudzo yakachengeteka yenzvimbo kazhinji ndeyekuichengeta, izvo zvinoendesa mari yekuchenesa mune ramangwana.

Iyo pateni inokosha kupfuura CLAUDE.md. Zvikwata zviri kuramba zvichichengeta zvibvumirano, miganhu yekuchengetedza, mirairo yebvunzo, sarudzo dzezvivakwa, uye yambiro yekuendesa mune inoverengeka muchina chirongwa chekutungamira. Aya mafaera anogona kuvandudza kuenderana uye kuderedza zvikanganiso zvakadzokororwa, asi zvakare anove nzvimbo yekutonga: vanhu vanofanirwa kuziva kuti ndiani akaunza mutemo wakakosha, humbowo hupi hunoururamisa, uye kuti ndeupi mamiriro angabvumira kuti uregererwe. Chirevo chekutaura ishanduro yakareruka yeiyo nzira yekuongorora.

Mhedzisiro yacho inoratidza dhizaini inobatsira yekurangarira mumiririri: kurangarira kunofanirwa kusanganisira mamiriro ekukanganwa. Panzvimbo pekurekodha chete "gara uchiita X," sisitimu inogona kuchengetedza kutadza kucherechedzwa, chiyero chemutemo, chikamu chakakodzera kana bvunzo, uye ongororo inokonzeresa. Izvo hazviite otomatiki kudzima, asi zvinopa humbowo hwekuchengetedza humbowo hwekusarudza kana chibvumirano chichiri kuchengetedza kurongeka kana kungoratidza nharaunda yekare.

Iko kune zvakare yeruzhinji-inofarirwa angle sezvo macoding agents anobata zvakanyanya mhedzisiro software. Yakaunganidzwa yakavanzika mirairo inogona chinyararire kuumba sarudzo dzekuchengetedza, maitiro ekuwanika, kubata data, kana kuti mumiririri anopindura sei mukutadza. Mafaira madiki haana kuchengetedzwa otomatiki, uye kuchenesa zvine hukasha kunogona kubvisa chengetedzo yakakosha. Mhedzisiro inobatsira ndeyekutsvakisisa: mitemo mishoma isingatsananguriki, varidzi vakajeka, uye maitiro ekuongorora anoita kuti vanhu vade kupikisa zvese zvakawedzerwa nekudzimwa.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Interactive Concept Check+10 Points
AI Agents Quiz

What most distinguishes an AI agent from a basic chatbot?

Zvekutarisa zvinotevera

Muedzo unotevera kudzokorora kwakazvimiririra mumitauro yese, masangano, zvigadzirwa zveagent, uye matura ekugara kwenguva refu, zvichiteverwa nemiedzo inoyera kana kucheneswa kwakanyorwa kuchivandudza kunaka kwekodhi pasina kudzima chengetedzo dzakakosha.

Muenzaniso wekutarisa une miganhu yekusarudza. Nzvimbo dzeveruzhinji dzinoita mafaera ekuraira emumiririri dzinogona kusiyana kubva kune yakavanzika bhizinesi codebases, uye repository nhoroondo haigone kuburitsa yega yega-yeplatform hurukuro kana chiitiko chakakurudzira mutemo. Kukura kunogonawo kuve kunonzwisisika kana chirongwa chinowedzera. Ongororo dzenguva yemberi dzinofanira kupatsanura kuvharika kunobatsira kwezvikamu zvitsva kubva kune zvakapetwa, zvinopokana, kana zvisisashandiswe mirairo uye kushuma kuti mibairo inosiyana sei nezera renzvimbo, saizi, mutauro, nhamba yevabatsiri, uye chikuva chemumiririri.

Miedzo inodzorwa inoda kusimbiswa kwakakura. Mabasa acho akatorwa kubva mukuraira-kutevera mabhenji kwete mwedzi yekurarama software kugadzirisa, uye pepa rinoenderana pombi yakatariswa pane makumi mashanu-shanduko sampu. Mumwe munyori akaburitsa runyoro rwakashandiswa muchikamu chekusimbisa. Chidzidzo ichi hachina kuvhara mafaera ekuraira asiri echiRungu, uye hachina kutsvaira mativi ese aishandiswa kusarudza kana shanduko ichiverengwa sekunyora patsva pane kuenderera mberi kwekuraira.

Maonero anogona kuchengetedza zvikonzero zvisiri izvo zviri nyore sezvakanaka. Zvikwata zvino zvinofanirwa kuyedza hunhu hwakarongeka zvichipesana nedzimwe nzira dzakaita senge nyaya dzakabatana, kutadza kudzoreredza bvunzo, mazuva ekupera kwenguva, minda yevaridzi, kana macheki otomatiki anoteedzera uye anopokana mirairo. Iyo yakachengeteka mafambiro ekushanda yaizokurudzira kubviswa, kuratidza humbowo uye bvunzo dzakakanganisika, uye inoda kuongororwa kwemitemo ine chekuita zvakanyanya pane kubvumidza mumiririri kuti acheke mirairo chete kuchengetedza tokeni.

Huchapupu hunobatsira hwekutevera hwaizoyera mhedzisiro yekuguma-kusvika-kumagumo: saizi yekukurumidza, kutevedzera mirayiridzo, kubudirira kwebasa, kudzoreredza, nguva yekudzokorora, uye nhamba yemitemo yakadzoserwa mushure mekubviswa. Vatsvaguri vanofanirwa kuyedzawo kana mamodheru achinyatso shandisa zvine musoro zvirevo sezvazvakarongwa kana dzimwe nguva kuzvikanganisa kune zvimwe zvinodiwa. Kusvika izvo zvabuda zvasvika, kurangarira kunotyisa irondedzero inotsigirwa yedataset yevanyori uye zviedzo, kwete mutemo wepasirese kana chikonzero chekudzima hutungamiriri hwepurojekiti yakakura.

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