BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI-Assisted Coding with Open-Weight Models: A Comparison with Comm ercial Systems DTSTART:20261126T090000Z DTEND:20261126T110000Z DTSTAMP:20261102T150400Z UID:indico-event-374@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Date: 26 November 2026\, 10:00 – 12:00 (CET)Price: Free (f or eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom)Target audi ence: Industry\, public admin\, academiaLanguage: EnglishOrganizer: AI: ATSee how current local\, open-weight\, and commercial AI coding tools com pare on the same live coding tasks. Examine what they can do\, how much co ntrol and privacy they offer\, what infrastructure they require\, and how much supervision they need.  Choosing among current AI coding tools often means weighing the capabilities of commercial systems against the control and privacy offered by local alternatives. These differences can be diffi cult to judge from benchmarks and product claims alone.This webinar provid es a practical comparison. A locally hosted open-weight model and a commer cial system work on the same coding tasks using open Austrian weather data . The demonstrations progress from one-shot generation to plan-driven deve lopment\, reusable project instructions\, and an agent-driven bug fix veri fied by tests.The comparison shows what each setup can do\, where correcti on is required\, and how the level of human supervision changes with the t ask. These observations are considered alongside infrastructure\, privacy\ , speed\, cost\, setup effort\, verification\, and security. This webinar provides a practical basis for deciding which approach fits different requ irements and constraints.Learning outcomes:Understand how AI coding models connect to repositories\, terminals\, and development tools.Judge realist ically what open-weight and local models can do across one-shot\, plan-dri ven\, skill-driven\, and agent-driven workflows.Recognize the main trade-o ffs between local and commercial systems\, including quality\, speed\, cos t\, privacy\, setup effort\, and safety.Target audienceAnyone exploring cu rrent AI coding tools who wants greater control over their workflows\, inf rastructure\, and privacy.This webinar is open and free of charge for all participants from academia\, industry\, and public administration from EU and/or EuroHPC JU member countries.Entry level & prerequisitesBasic progra mming experience\; no prior experience with AI coding tools required.Agend aWelcome & Presentation of AI Factory Austria AI:ATAI-assisted coding land scape\; how models work\; verification\; local and commercial setupsLevel 1 — One-shot generation Level 2 — Plan-driven feature development Le vel 3 — Skill-driven reuse of project conventions  Break (15 min)Level 4 — Agent-driven\, test-verified complex task  Comparison: quality\, speed\, cost\, privacy\, and setup effort Risks and safeguards: overtrust \, data and IP\, and prompt injection Durable workflows and setup guidanc e Questions & Discussion  SpeakersMehmet Alper Kuyumcu (AIT Austrian In stitute of Technology)          Mehmet Alper Kuyumcu is a Scienti st at the AIT Austrian Institute of Technology. He holds a master's degree in Simulation Sciences from RWTH Aachen University. His research focuses on efficient numerical methods and parallel computing for power-system ana lysis. His work focuses on accelerating Newton–Raphson power-flow calcul ations. He brings this scientific-computing perspective to evaluating curr ent AI coding tools.LanguageEnglishDate\, time\, and location26.11.2026\, 10:00 – 12:00 (CET)\, LIVE ONLINE WEBINAR (Zoom)RegistrationRegistration is required\, the link to the registration form can be found on the top o f this page in the menu on the left. Please register with your official in stitutional email address to prove your affiliation.You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indic o] Registration")\, please check your Spam/Junk folders). We will also sen d 1–2 reminders before the webinar.Please do not hesitate to contact us at training@ai-at.eu if you have any questions.Modification\, withdrawal & no-show policyYour registration is binding. Please only register for the course if you are really going to attend.You can update your registration data or withdraw your registration anytime before the registration form ha s been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[I ndico] Registration").Alternatively\, or after the registration form has b een closed\, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (traini ng@ai-at.eu).No-show policy: If you do not cancel and do not show up at th e course you will be blacklisted and excluded from future training events. OrganizersThis webinar is organized by AI Factory Austria AI:AT.Acknowledg ementsAI Factory Austria AI:AT has received funding from the European High -Performance Computing Joint Undertaking (JU) under grant agreement No 101 253078. The JU receives support from the Horizon Europe Programm of the Eu ropean Union and Austria (BMIMI / FFG). \n\nhttps://events.asc.ac.at/even t/374/ LOCATION:Zoom (ONLINE) URL:https://events.asc.ac.at/event/374/ END:VEVENT END:VCALENDAR