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5 slides36:07EN
Theo - t3․gg· Oct 27, 2026Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.AI cost & performanceCoding agentsInference+1
5 slides30:37EN
Theo - t3․gg· Oct 26, 2026Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.Agent skillsCoding agentsCode review & verification+2
Slides21:58EN
Matthew Berman· Aug 20, 2026How Matthew Berman Uses Grok Bot for Email, Meetings and Everyday TasksMatthew Berman · Forward FutureA tour of connected bots covers practical routines, reported coding workflows and features the host has not yet tried.AgentsHuman-AI CollaborationCoding agents+2
2 slides1:06EN
Matthew Berman· Jul 9, 2026Two GPT-5.6 Coding Demos: A Block World and a SpreadsheetMatthew Berman · Forward FutureMatthew Berman shows a Minecraft-like game and an Excel-like application built with Codex and GPT-5.6.Coding agentsComputer useDeveloper productivity
3 slides18:34EN
Matthew Berman· Jul 7, 2026Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.AI cost & performanceAgent engineeringDeveloper productivity
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· Mar 27, 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoHost Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Coding agentsContext engineeringRetrieval-augmented generation+3
3 slides0:51EN
Matthew Berman· Mar 21, 2025Claude Adds Web Search: A First LookMatthew Berman · Forward FutureMatthew Berman enables Claude’s web search and tries a query about his latest YouTube video in March 2025.AnthropicSearch & retrievalDeveloper productivity
1:24:29EN
Cognitive Revolution "How AI Changes Everything"· Feb 9, 2025PodcastStackBlitz Almost Shut Down. Then Bolt Hit $20 Million ARR in Eight Weeks.Host Nathan LabenzEric Simons tells Nathan Labenz how a seven-year browser operating system, Claude Sonnet 3.5, and a text box replaced the local toolchain.Coding agentsVibe CodingProduct Strategy+3
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Cognitive Revolution "How AI Changes Everything"· Oct 31, 2024PodcastGemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.Host Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.Product & UXRetrieval-augmented generationAI cost & performance+3
7 slides15:59EN
Jane Street· May 7, 2024Tail Calls and Local Regions in OCamlRichard Eisenberg · Jane StreetA list-counting example reveals why a local closure can escape at a tail call, and how regional mode and [@nontail] affect the result.Programming LanguagesSoftware engineeringDeveloper productivity
1:05:52EN
Cognitive Revolution "How AI Changes Everything"· May 3, 2024PodcastInfinite AI Interns Are Already on the JobHost Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.AgentsAI StrategyHuman-AI Collaboration+3
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Cognitive Revolution "How AI Changes Everything"· Mar 12, 2024PodcastWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%Host Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.Coding agentsDeveloper workflows & testingCode review & verification+3
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· Aug 8, 2023PodcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligenceHost Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.Coding agentsDeveloper productivityAI startups & small teams+3
1:45:46EN
Cognitive Revolution "How AI Changes Everything"· Aug 4, 2023PodcastReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsHost Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.Coding agentsDeveloper productivityProduct Strategy+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
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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
3 slides14:55EN
Matthew 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.Developer productivityAI interface design
12:17EN
Matthew 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.Prompting & in-context learningPrompt injectionDeveloper productivity
2 slides1:23:49EN
Jane 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.Software engineeringDeveloper productivityDeveloper workflows & testing
8 slides28:31EN
Jane 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.Programming LanguagesSoftware engineeringDeveloper productivity
3 slides1:06:39EN
Jane 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.Programming LanguagesSoftware engineeringDeveloper productivity+1
2 slides1:04:56EN
Jane 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.Programming LanguagesSoftware engineeringDeveloper productivity
1:25:13EN
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.Coding agentsCode review & verificationDeveloper productivity+3
1:39:51EN
Lenny'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.Coding agentsAgent engineeringPrompt injection+3
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