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7:37EN
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.
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.
11:39ENMatthew Berman· May 11, 2023A 2023 Look at ChatGPT Plugins, Browsing and Code InterpreterMatthew Berman · Forward FutureMatthew Berman tests early ChatGPT integrations for travel, groceries, web browsing and Python analysis. The demonstrations show both useful outputs and errors in a historical interface.
20:48ENMatthew 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.
7:48ENMatthew 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.
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No Priors: AI, Machine Learning, Tech, & Startups· Mar 30, 2023Podcast · 2 speakersEvery 10 Milliseconds Cost Copilot 1% of CompletionsHost 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.
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20VC with Harry Stebbings· Mar 11, 2023Podcast · 2 speakersAmjad Masad on Replit, Company Culture and AI-Assisted SoftwareGuest Amjad Masad · Host Harry StebbingsThe Replit founder discusses hiring, developer productivity and the opportunities and risks he saw in AI in 2023.
14:55ENMatthew Berman· Mar 8, 2023Building 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.
12:17ENMatthew Berman· Feb 27, 2023A 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.
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Lex Fridman· Nov 26, 2022Podcast · 2 speakersPython Is a Recipe Written for Two ReadersGuest Guido van Rossum · Host Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
3:08:32ENLex Fridman· Mar 4, 2021Podcast · 2 speakersNinety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst CaseGuest Cal Newport · Host 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.
2:46:57ENLex Fridman· Oct 18, 2020Podcast · 2 speakersProgramming Languages Are Bicycles for the MindGuest Chris Lattner · Host 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.
59:33ENJane Street· Oct 7, 2020Laurent 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.
1:23:49ENJane Street· Jan 31, 2020Steve 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.
1:10:58ENLex Fridman· Jun 3, 2019Podcast · 2 speakersThe Hadoop Lesson That Made Google Give TensorFlow AwayGuest Rajat Monga · Host 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.
1:03:45ENJane Street· Dec 7, 2018Jane 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.
1:14:23ENJane Street· Aug 24, 2018Cristina 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.
28:31ENJane Street· Mar 9, 2017Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.
1:06:39ENJane Street· Mar 31, 2016Why 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.
1:04:56ENJane Street· Mar 31, 2016Yaron 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.
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Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateHost 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.
1:39:51ENLenny's PodcastPodcastAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterHost 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.
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Unsupervised Learning: With Jacob EffronPodcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsHost 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.
1:04:25ENUnsupervised Learning: With Jacob EffronPodcastInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job EnduresHost 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.Load moreShowing 24 of 145