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슬라이드 3장22:27EN
Jane Street· 2024년 2월 7일How OCaml Infers LocalityRichard Eisenberg · Jane StreetA look at local and global mode inference, module signatures, mode crossing for integers, and conversions between function types.Programming LanguagesSoftware engineering
슬라이드 5장15:17EN
Jane Street· 2024년 1월 31일OCaml Locals, Modes, and SubmodingRichard Eisenberg · Jane StreetA worked explanation of how local and global modes control escaping values, and how those modes interact with function types.Programming LanguagesSoftware engineering
슬라이드 5장9:25EN
Matthew Berman· 2024년 1월 31일Matthew Berman Tests Meta’s Code Llama 70B on a Snake GameMatthew Berman · Forward FutureA 2024 look at Meta’s coding-model release, a SQL-focused fine-tune and a hands-on test that did not work on the first attempt.Open-weight modelsSoftware engineeringBenchmarks+2
슬라이드 3장7:20EN
Matthew Berman· 2024년 1월 30일Using Cody and Ollama for Local Code CompletionMatthew Berman · Forward FutureIn a sponsored 2024 tutorial, Matthew Berman sets up Code Llama 7B for Cody autocomplete and demonstrates additional hosted coding features.Developer productivityLocal inferenceOpen-weight models+1
슬라이드 7장12:52EN
Jane Street· 2024년 1월 23일OCaml Local Variables, Return Values and RegionsRichard Eisenberg · Jane StreetA worked example shows how `local_` and `exclave_` let a function accept a local value and return a local structure in its caller's region.Programming LanguagesSoftware engineering
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 18일팟캐스트 · 2명After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the model진행자 Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.코딩 에이전트검색 증강 생성(RAG)컨텍스트 엔지니어링+3
슬라이드 4장8:52EN
Jane Street· 2024년 1월 5일Introducing Local Parameters in OCamlRichard Eisenberg · Jane StreetA demonstration of how Jane Street's experimental local mode restricts escaping values and makes function interfaces easier to reason about.Programming LanguagesSoftware engineering
슬라이드 5장24:54EN
Matthew Berman· 2023년 12월 22일Matthew Berman's 2023 Prediction for AI and the Future of ProgrammingMatthew Berman, Matt Welsh, McKay Wrigley · Forward FutureBerman argues that natural-language interfaces and AI agents could transform software development, while acknowledging the limits of coding tools and his uncertain timeline.Software engineering코딩 에이전트Human-AI Collaboration+2
슬라이드 5장17:08EN
Matthew Berman· 2023년 12월 21일Building and Testing a Login App With GPT PilotMatthew Berman · Forward FutureMatthew Berman demonstrates the 2023 VS Code workflow for AI-assisted planning, coding and debugging an authentication prototype.코딩 에이전트개발 워크플로와 테스트AI security+1
55:34EN
Jane Street· 2023년 11월 29일Andrew Hunter on Performance Engineering for Low-Latency SystemsYaron Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.Software engineering관측 가능성과 안정성Programming Languages+2
슬라이드 3장10:37EN
Matthew Berman· 2023년 11월 17일Testing DeepSeek Coder on Forms, Bugs and a Snake GameMatthew Berman · Forward FutureMatthew Berman puts the 2023 coding model through a small hands-on rubric, from JSON and unit tests to a playable game.Software engineering개발 워크플로와 테스트Open-weight models+1
슬라이드 5장15:03EN
Matthew Berman· 2023년 10월 10일A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.Multi-agent systems에이전트 엔지니어링코딩 에이전트+2
슬라이드 3장7:32EN
Matthew Berman· 2023년 10월 4일MageGPT Generates a Wasp To-Do App: A 2023 DemonstrationMatthew Berman · Forward FutureMatthew Berman uses a Wasp-sponsored app generator to build, run and deploy a basic full-stack to-do app.코딩 에이전트Software engineering개발 워크플로와 테스트
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 21일팟캐스트 · 2명A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.진행자 Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.코딩 에이전트Developer productivityOpen-weight models+3
슬라이드 5장10:20EN
Matthew Berman· 2023년 8월 30일Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.Open-weight models코딩 에이전트평가(Evals)+2
슬라이드 6장9:55EN
Matthew Berman· 2023년 7월 14일Building AI Characters With the a16z Companion AppMatthew Berman · Forward FutureMatthew Berman walks through a 2023 starter project for conversational characters, from service configuration and embeddings to editing a companion’s personality.AI agentsSoftware engineering검색 증강 생성(RAG)+1
슬라이드 3장7:05EN
Matthew Berman· 2023년 7월 2일Aider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.코딩 에이전트개발 워크플로와 테스트Software engineering+1
2:21EN
Jane Street· 2023년 6월 30일Varun on Software Engineering at Jane StreetVarun · Jane StreetA London-based developer describes useful technical foundations, OCaml training and team matching at Jane Street.Software engineeringCareersCompany Culture
슬라이드 5장59:36EN
Matthew Berman· 2023년 6월 27일Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.파인튜닝검색 증강 생성(RAG)Open-weight models+2
슬라이드 3장8:17EN
Matthew Berman· 2023년 6월 22일Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInference인프라와 배포+1
슬라이드 7장4:36EN
Matthew Berman· 2023년 6월 20일Testing WizardCoder 15B as a Local Coding AssistantMatthew Berman · Forward FutureMatthew Berman runs the 2023 WizardCoder model locally, testing small Python exercises and a longer Snake game.모델과 학습Local inferenceSoftware engineering+2
슬라이드 4장6:26EN
Matthew Berman· 2023년 6월 14일Installing and Trying GPT-Engineer: A 2023 Snake Game WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates the early project-generation workflow, from a Conda environment and prompt to clarification questions and generated Python files.코딩 에이전트개발 워크플로와 테스트Software engineering
3:34:03EN
Lex Fridman· 2023년 6월 2일팟캐스트 · 2명Python Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.인프라와 배포AI platform engineeringSoftware engineering+3
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
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