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199 件
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スライド 5 枚24:54EN
Matthew Berman· 2023年12月22日Matthew 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 engineeringコーディングエージェントHuman-AI Collaboration+2
55:34EN
Jane Street· 2023年11月29日Andrew 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 engineeringオブザーバビリティと信頼性Programming Languages+2
スライド 3 枚10:37EN
Matthew Berman· 2023年11月17日Testing 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 engineering開発ワークフローとテストOpen-weight models+1
スライド 5 枚15:03EN
Matthew Berman· 2023年10月10日A 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 systemsエージェント工学コーディングエージェント+2
スライド 3 枚7:32EN
Matthew Berman· 2023年10月4日MageGPT 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.コーディングエージェントSoftware engineering開発ワークフローとテスト
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト 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.コーディングエージェントDeveloper productivityOpen-weight models+3
スライド 5 枚10:20EN
Matthew Berman· 2023年8月30日Phind 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 modelsコーディングエージェント評価(Evals)+2
スライド 6 枚9:55EN
Matthew Berman· 2023年7月14日Building 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 engineering検索拡張生成(RAG)+1
2:21EN
Jane Street· 2023年6月30日Varun 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
スライド 5 枚59:36EN
Matthew Berman· 2023年6月27日Pascal 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.ファインチューニング検索拡張生成(RAG)Open-weight models+2
スライド 3 枚8:17EN
Matthew Berman· 2023年6月22日Using 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 modelsInferenceインフラとデプロイ+1
スライド 7 枚4:36EN
Matthew Berman· 2023年6月20日Testing 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.モデルと学習Local inferenceSoftware engineering+2
3:34:03EN
Lex Fridman· 2023年6月2日ポッドキャスト · 2 人Python Isn't Finished: Chris Lattner on Mojo and the Hardware Messゲスト Chris Lattner · ホスト 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.インフラとデプロイAI platform engineeringSoftware engineering+3
スライド 5 枚7:37EN
Matthew Berman· 2023年5月25日Smol 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 engineeringコーディングエージェントDeveloper productivity+1
5:49EN
Jane Street· 2023年5月23日Ian 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
59:38EN
Jane Street· 2023年5月18日Richard Eisenberg on Dependent Types, OCaml, and AI-Assisted ProgrammingYaron Minsky, Richard Eisenberg · Jane StreetHow type systems can express correctness and performance, and why precise, readable specifications still matter when AI writes code.Software engineeringOpen-source ecosystemsコーディングエージェント+1
3:48EN
Jane Street· 2023年5月10日Val on Software Engineering and Collaboration at Jane StreetVal · Jane StreetA London developer explains how colleagues teach new hires, review production code, and work across teams.Software engineeringCompany CultureCareers+1
スライド 4 枚9:58EN
Matthew Berman· 2023年4月26日HuggingChat’s 2023 Debut: Testing Writing, Reasoning and Python CodeMatthew Berman · Forward FutureMatthew Berman tries the early OpenAssistant-powered HuggingChat on writing, arithmetic, logic and a Snake game, then compares a few outputs with GPT-3.5 and GPT-4. The results illustrate both promise and limitations in this small historical test.Open-weight modelsBenchmarksモデルと学習+2
スライド 5 枚20:48EN
Matthew Berman· 2023年4月24日Matthew Berman’s ChatGPT Coding Workflow: Build, Test, and IterateMatthew Berman · Forward FutureA 2023 walkthrough builds a Python command-line chat client while showing how to plan, debug, and revise AI-generated code. The software interfaces and model limits described are historical.Developer productivitySoftware engineeringHuman-AI Collaboration+2
スライド 3 枚7:48EN
Matthew Berman· 2023年4月1日Using ChatGPT - Genie AI in VS Code to Explain, Refactor and Test Rails CodeMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 VS Code extension on a Ruby on Rails project and examines the limits of its code context.Developer productivitySoftware engineeringCode review & verification+1
3:30EN
Jane Street· 2023年3月15日Brittany on Software Engineering and Internships at Jane StreetBrittany · Jane StreetAn equities desk engineer explains how interns learn finance and OCaml, contribute meaningful projects and collaborate with traders.Software engineeringCareersOnboarding+1
3:09EN
Jane Street· 2023年3月15日Minjie on Cybersecurity Engineering at Jane StreetMinjie · Jane StreetA Hong Kong software engineer describes learning OCaml, working on an internal permissions system and collaborating across teams on security alerts.CybersecuritySoftware engineeringCompany Culture
スライド 3 枚37:24EN
Jane Street· 2023年2月27日Grace and Nolen's Software Engineering Mock InterviewGrace, Nolen · Jane StreetA unit-conversion graph illustrates how Jane Street interviewers discuss design, code, errors and communication with a candidate.CareersSoftware engineeringHiring
3:15:51EN
Lex Fridman· 2022年11月26日ポッドキャスト · 2 人Python Is a Recipe Written for Two Readersゲスト Guido van Rossum · ホスト Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.オープンソースとコミュニティSoftware engineeringProgramming Languages+3
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