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13:59ENSWE-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.
14:23ENTesting DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.
14:58ENOpenDevin’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.
1:10:33ENJean-Michel Lemieux on Shipping, Hiring and Product AlignmentInvitado: Jean-Michel Lemieux · Presenta: Harry StebbingsThe former Shopify CTO and Atlassian engineering leader explains how he balances speed and quality, aligns decisions and builds teams.
19:51ENDevin’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.
3:30ENRichard Eisenberg on Jane Street's OCaml ExperimentsRichard Eisenberg · Jane StreetJane Street's compiler team is exploring unboxed types, locality modes, and data-race-free parallelism to make OCaml's performance and memory management better suited to its needs.
11:07ENHow OCaml Locals Use a Separate StackRichard Eisenberg · Jane StreetA list example shows how region-scoped local values can avoid repeated garbage-collected allocations.
55:29ENBuilding 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.
23:25ENRichard Eisenberg: How OCaml Locals Reduce Garbage-Collected AllocationRichard Eisenberg · Jane StreetAn annotated list-processing example shows why locality must be preserved both when values are created and when functions consume them.
22:27ENHow OCaml Infers LocalityRichard Eisenberg · Jane StreetA look at local and global mode inference, module signatures, mode crossing for integers, and conversions between function types.
15:17ENOCaml Locals, Modes, and SubmodingRichard Eisenberg · Jane StreetA worked explanation of how local and global modes control escaping values, and how those modes interact with function types.
9:25ENMatthew 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.
7:20ENUsing 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.
12:52ENOCaml Local Variables, Return Values and RegionsRichard Eisenberg · Jane StreetA worked example shows how `local_` and `exclave_` let a function accept a local value and return a local structure in its caller's region.
46:36ENAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelPresenta: Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.
8:52ENIntroducing Local Parameters in OCamlRichard Eisenberg · Jane StreetA demonstration of how Jane Street's experimental local mode restricts escaping values and makes function interfaces easier to reason about.
24:54ENMatthew 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.
17:08ENBuilding 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.
55:34ENAndrew 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.
10:37ENTesting 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.
15:03ENA 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.
7:32ENMageGPT 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.
29:38ENA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Presenta: 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.
10:20ENPhind 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.
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