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57 件
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9:02EN
Matthew Berman· 2025年3月13日Dario Amodei’s 2025 AI Coding Forecast and Matthew Berman’s ResponseMatthew Berman, Dario Amodei, Mark Zuckerberg · Forward FutureBerman considers a rapid forecast for AI-written code, the rise of coding agents, and speculative longer-term changes to software work.コーディングエージェントFuture of WorkVibe Coding+2
スライド 3 枚21:48EN
Matthew Berman· 2025年3月5日Vibe Coding With Cursor and Windsurf: Berman’s 2025 WorkflowMatthew Berman · Forward FutureMatthew Berman shares project rules, testing habits and version-control practices from early experiments with coding agents.コーディングエージェント開発ワークフローとテストHuman-AI Collaboration+2
スライド 4 枚9:43EN
Matthew Berman· 2025年2月20日Testing Grok 3 on Games, Reasoning, and Web SearchMatthew Berman · Forward FutureMatthew Berman tries a new set of audience-suggested prompts, from a Snake–Flappy Bird mashup to a family-logic puzzle and a tesseract visualization.評価(Evals)Foundation ModelsReasoning & test-time compute+1
スライド 2 枚11:00EN
Matthew Berman· 2025年1月11日Mark Zuckerberg’s 2025 AI Engineer Prediction and the Future of Software JobsMatthew Berman, Mark Zuckerberg, Joe Rogan · Forward FutureMatthew Berman reacts to Zuckerberg’s prediction that AI could perform mid-level engineering work at Meta and weighs an optimistic view of human creativity against a reported Salesforce hiring plan.Future of WorkSoftware engineeringAI Strategy+2
52:21EN
Matthew Berman· 2024年12月7日The SWE-bench Team on Coding Agents, Evaluation and the Future of ProgrammingMatthew Berman, Kilian Lieret, Ofir Press, Carlos E. Jimenez · Forward FutureKilian Lieret, Ofir Press and Carlos Jimenez explain how real GitHub issues became a benchmark and how interface design shaped SWE-agent.コーディングエージェント開発ワークフローとテストBenchmarks+2
スライド 4 枚12:50EN
Matthew Berman· 2024年11月2日Comparing Three Local Coding Models on Games and Programming ChallengesMatthew Berman · Forward FutureMatthew Berman runs DeepSeek-Coder-V2 Lite, Yi-Coder 9B, and Qwen2.5-Coder 7B on a sponsored workstation. Their results vary by task and include manual corrections.Open-weight models評価(Evals)Software engineering+2
19:46EN
Matthew Berman· 2024年8月28日Linus Torvalds and Dirk Hohndel on AI Coding, Bugs and HypeMatthew Berman, Linus Torvalds, Dirk Hohndel · Forward FutureMatthew Berman reacts to two conversations about AI-assisted programming, code review, automation and open data.コーディングエージェントSoftware engineeringOpen Source+2
スライド 5 枚11:34EN
Matthew Berman· 2024年8月1日Testing Mistral Large 2: Coding, Reasoning and Safety in 2024Matthew Berman · Forward FutureMatthew Berman tests Mistral’s 123-billion-parameter model with small coding tasks, logic puzzles and ethical hypotheticals. The results are promising but narrowly scoped.Foundation Models評価(Evals)Open-weight models+2
スライド 6 枚8:52EN
Matthew Berman· 2024年7月14日Yi-Large Tested: Coding, Arithmetic and Logic PuzzlesMatthew Berman · Forward FutureMatthew Berman puts 01.AI's hosted model through a small set of coding and reasoning prompts, with mixed results and some questionable grading.評価(Evals)Foundation ModelsBenchmarks+2
スライド0:55EN
Matthew Berman· 2024年4月18日Meta Llama 3: A Quick Coding and Image DemonstrationMatthew Berman · Forward FutureMatthew Berman reviews the initial 8B and 70B Llama 3 release and tries a Python Snake game and an image prompt.Foundation ModelsOpen-weight modelsSoftware engineering+1
スライド 7 枚13:59EN
Matthew Berman· 2024年4月5日SWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.コーディングエージェントエージェント工学開発ワークフローとテスト+2
スライド 3 枚14:23EN
Matthew Berman· 2024年3月31日Testing DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.Open-weight modelsモデルと学習評価(Evals)+1
スライド 4 枚14:58EN
Matthew Berman· 2024年3月30日OpenDevin’s Early Coding Agent: A 2024 Installation and DemoMatthew Berman · Forward FutureMatthew Berman installs an early open-source coding-agent project and tries a calculator and a simple web page, while encountering setup and browser issues.コーディングエージェントエージェント工学Software engineering+1
スライド 6 枚19:51EN
Matthew Berman· 2024年3月15日Devin’s 2024 Launch: Coding-Agent Demos and Benchmark ClaimsMatthew Berman, Scott Wu, Neal, Walden · Forward FutureMatthew Berman examines Cognition’s software-agent demonstrations, interface and SWE-bench comparison alongside earlier coding projects.コーディングエージェントSoftware engineeringBenchmarks+2
スライド 4 枚55:29EN
Matthew Berman· 2024年2月24日Building a CrewAI Newsletter Team: Scraping, Summarizing and DebuggingMatthew Berman, Joe · Forward FutureMatthew Berman builds a two-agent newsletter prototype, works through input and scraping errors, and shows what still needs to be fixed.Multi-agent systemsエージェント工学Workflow automation+2
スライド 5 枚9:25EN
Matthew Berman· 2024年1月31日Matthew 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
スライド 3 枚7:20EN
Matthew Berman· 2024年1月30日Using 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
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
スライド 5 枚17:08EN
Matthew Berman· 2023年12月21日Building 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.コーディングエージェント開発ワークフローとテストAI security+1
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
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
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