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5 slides24:54EN
Matthew Berman· Dec 22, 2023Matthew 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 engineeringCoding agentsHuman-AI Collaboration+2
5 slides17:08EN
Matthew Berman· Dec 21, 2023Building 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.Coding agentsDeveloper workflows & testingAI security+1
55:34EN
Jane Street· Nov 29, 2023Andrew 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 engineeringObservability & reliabilityProgramming Languages+2
3 slides10:37EN
Matthew Berman· Nov 17, 2023Testing 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 engineeringDeveloper workflows & testingOpen-weight models+1
5 slides15:03EN
Matthew Berman· Oct 10, 2023A 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 systemsAgent engineeringCoding agents+2
3 slides7:32EN
Matthew Berman· Oct 4, 2023MageGPT 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.Coding agentsSoftware engineeringDeveloper workflows & testing
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 21, 2023Podcast · 2 speakersA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Host 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.Coding agentsDeveloper productivityOpen-weight models+3
5 slides10:20EN
Matthew Berman· Aug 30, 2023Phind 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 modelsCoding agentsEvals+2
6 slides9:55EN
Matthew Berman· Jul 14, 2023Building 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 engineeringRetrieval-augmented generation+1
3 slides7:05EN
Matthew Berman· Jul 2, 2023Aider’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.Coding agentsDeveloper workflows & testingSoftware engineering+1
2:21EN
Jane Street· Jun 30, 2023Varun 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
5 slides59:36EN
Matthew Berman· Jun 27, 2023Pascal 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.Fine-tuningRetrieval-augmented generationOpen-weight models+2
3 slides8:17EN
Matthew Berman· Jun 22, 2023Using 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 modelsInferenceInfrastructure & deployment+1
7 slides4:36EN
Matthew Berman· Jun 20, 2023Testing 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.Models & trainingLocal inferenceSoftware engineering+2
4 slides6:26EN
Matthew Berman· Jun 14, 2023Installing 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.Coding agentsDeveloper workflows & testingSoftware engineering
3:34:03EN
Lex Fridman· Jun 2, 2023Podcast · 2 speakersPython Isn't Finished: Chris Lattner on Mojo and the Hardware MessGuest Chris Lattner · Host 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.Infrastructure & deploymentAI platform engineeringSoftware engineering+3
5 slides7:37EN
Matthew Berman· May 25, 2023Smol 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 engineeringCoding agentsDeveloper productivity+1
5:49EN
Jane Street· May 23, 2023Ian 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· May 18, 2023Richard 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 ecosystemsCoding agents+1
3:48EN
Jane Street· May 10, 2023Val 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
4 slides9:58EN
Matthew Berman· Apr 26, 2023HuggingChat’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 modelsBenchmarksModels & training+2
5 slides20:48EN
Matthew Berman· Apr 24, 2023Matthew 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
3 slides7:48EN
Matthew Berman· Apr 1, 2023Using 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· Mar 15, 2023Brittany 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
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