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슬라이드 5장7:37EN
Matthew Berman· 2023년 5월 25일Smol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.Software engineering코딩 에이전트Developer productivity+1
5:49EN
Jane Street· 2023년 5월 23일Ian on Software Engineering at Jane StreetIan · Jane StreetA London desk developer explains code review, OCaml training, intern projects and the feedback that comes from sitting near users.Software engineeringCode review & verificationDeveloper productivity+1
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 30일팟캐스트 · 2명Every 10 Milliseconds Cost Copilot 1% of Completions진행자 Sarah Guo, Elad GilGitHub Copilot's chief architect, Alex Graveley, walks through how a leftover code model with a sub-10% test pass rate became a product developers would not quit — and what he is building next at Minion AI.코딩 에이전트Product engineeringAI interface design+3
58:08EN
20VC with Harry Stebbings· 2023년 3월 11일팟캐스트 · 2명Amjad Masad on Replit, Company Culture and AI-Assisted Software게스트 Amjad Masad · 진행자 Harry StebbingsThe Replit founder discusses hiring, developer productivity and the opportunities and risks he saw in AI in 2023.코딩 에이전트Developer productivityEntrepreneurship+2
슬라이드 3장14:55EN
Matthew Berman· 2023년 3월 8일Building a Simple Chatbot With Python or BubbleMatthew Berman · Forward FutureMatthew Berman walks through a historical OpenAI API demo using Colab and Gradio, then a Bubble no-code workflow.Developer productivityAI interface design
12:17EN
Matthew Berman· 2023년 2월 27일A 2023 Guide to Prompting ChatGPT: Instructions, Examples, and LimitationsMatthew Berman · Forward FutureMatthew Berman walks through prompt components, common tasks, examples, and adversarial prompting in an early ChatGPT tutorial.Prompting & in-context learningPrompt injectionDeveloper productivity
3:15:51EN
Lex Fridman· 2022년 11월 26일팟캐스트 · 2명Python Is a Recipe Written for Two Readers게스트 Guido van Rossum · 진행자 Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.오픈소스와 커뮤니티Software engineeringProgramming Languages+3
3:08:32EN
Lex Fridman· 2021년 3월 4일팟캐스트 · 2명Ninety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst Case게스트 Cal Newport · 진행자 Lex FridmanThe Georgetown computer scientist talks with Lex Fridman about attention, digital minimalism, a world without email, and why relationships are the only honest worst-case analysis.Social MediaDeveloper productivityLeadership+3
2:46:57EN
Lex Fridman· 2020년 10월 18일팟캐스트 · 2명Programming Languages Are Bicycles for the Mind게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.인프라와 배포Programming LanguagesSoftware engineering+3
59:33EN
Jane Street· 2020년 10월 7일Laurent Mazare on Python, OCaml and Machine LearningYaron Minsky, Laurent Mazare · Jane StreetA researcher compares exploratory notebooks with robust production systems, and explains how language interoperability and resource management connect the two.Programming LanguagesMachine LearningSoftware engineering+1
슬라이드 2장1:23:49EN
Jane Street· 2020년 1월 31일Steve Lee on PowerShell 7: Compatibility, New Features and the RoadmapSteve Lee · MicrosoftA historical look at the move from Windows PowerShell to cross-platform PowerShell, including demonstrations of the version 7 preview and its compatibility trade-offs.Software engineeringDeveloper productivity개발 워크플로와 테스트
1:10:58EN
Lex Fridman· 2019년 6월 3일팟캐스트 · 2명The Hadoop Lesson That Made Google Give TensorFlow Away게스트 Rajat Monga · 진행자 Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.오픈소스와 커뮤니티Open-source ecosystemsCommunity building+3
1:03:45EN
Jane Street· 2018년 12월 7일Jane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.Programming LanguagesSoftware engineeringDeveloper productivity+1
슬라이드 9장1:14:23EN
Jane Street· 2018년 8월 24일Cristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.Programming LanguagesSoftware engineeringDeveloper productivity+1
슬라이드 8장28:31EN
Jane Street· 2017년 3월 9일Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.Programming LanguagesSoftware engineeringDeveloper productivity
슬라이드 3장1:06:39EN
Jane Street· 2016년 3월 31일Why Jane Street Uses OCamlYaron Minsky · Jane StreetA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.Programming LanguagesSoftware engineeringDeveloper productivity+1
슬라이드 2장1:04:56EN
Jane Street· 2016년 3월 31일Yaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.Programming LanguagesSoftware engineeringDeveloper productivity
1:25:13EN
Lenny's Podcast팟캐스트Codex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammate진행자 Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.코딩 에이전트Code review & verificationDeveloper productivity+3
1:39:51EN
Lenny's Podcast팟캐스트After the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disaster진행자 Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.코딩 에이전트에이전트 엔지니어링Prompt injection+3
1:11:06EN
Unsupervised Learning: With Jacob Effron팟캐스트Replit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creators진행자 Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.제품과 UX코딩 에이전트Vibe Coding+3
1:04:25EN
Unsupervised Learning: With Jacob Effron팟캐스트Inside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Endures진행자 Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.코딩 에이전트Developer productivityAI Product Management+3
1:23:15EN
Lenny's Podcast팟캐스트 · 2명Camille Fournier on Rewrites, One-on-Ones and Building Platform Teams게스트 Camille Fournier · 진행자 Lenny RachitskyThe author of The Manager's Path explains what annoys engineers about PMs, why rewrites are a trap, how to move into management, and what makes platform teams work.제품과 UXProduct ManagementProduct Leadership+3
1:32:32EN
Lenny's Podcast팟캐스트 · 2명Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architects게스트 Scott Wu · 진행자 Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.코딩 에이전트Software engineeringDeveloper productivity+3
50:03EN
Lenny's Podcast팟캐스트Copilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software Development진행자 Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.코딩 에이전트Developer productivityProduct Strategy+3
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