Claude Code: Anthropic's CLI Agent

Latent Space · Beginner ·💻 AI-Assisted Coding ·1y ago
More info: https://docs.anthropic.com/en/docs/claude-code/overview The AI coding wars have now split across four battlegrounds: 1. AI IDEs: with two leading startups in Windsurf ($3B acq. by OpenAI) and Cursor ($9B valuation) and a sea of competition behind them (like Cline, Github Copilot, etc). 2. Vibe coding platforms: Bolt.new, Lovable, v0, etc. all experiencing fast growth and getting to the tens of millions of revenue in months. 3. The teammate agents: Devin, Cosine, etc. Simply give them a task, and they will get back to you with a full PR (with mixed results) 4. The cli-based agents: after Aider’s initial success, we are now seeing many other alternatives including two from the main labs: OpenAI Codex and Claude Code. The main draw is that 1) they are composable 2) they are pay as you go based on tokens used. Since we covered all three of the first categories, today’s guests are Boris and Cat, the lead engineer and PM for Claude Code. If you only take one thing away from this episode, it’s this piece from Boris: Claude Code is not a product as much as it’s a Unix utility. This fits very well with Anthropic’s product principle: “do the simple thing first.” Whether it’s the memory implementation (a markdown file that gets auto-loaded) or the approach to prompt summarization (just ask Claude to summarize), they always pick the smallest building blocks that are useful, understandable, and extensible. Even major features like planning (“/think”) and memory (#tags in markdown) fit the same idea of having text I/O as the core interface. This is very similar to the original UNIX design philosophy: Claude Code is also the most direct way to consume Sonnet for coding, rather than going through all the hidden prompting and optimization than the other products do. You will feel that right away, as the average spend per user is $6/day on Claude Code compared to $20/mo for Cursor, for example. Apparently, there are some engineers inside of Anthropic that have spen
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Latent Space · Latent Space · 0 of 60

← Previous Next →
1 Ep 18: Petaflops to the People — with George Hotz of tinycorp
Ep 18: Petaflops to the People — with George Hotz of tinycorp
Latent Space
2 FlashAttention-2: Making Transformers 800% faster AND exact
FlashAttention-2: Making Transformers 800% faster AND exact
Latent Space
3 RWKV: Reinventing RNNs for the Transformer Era
RWKV: Reinventing RNNs for the Transformer Era
Latent Space
4 Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
Latent Space
5 RAG is a hack - with Jerry Liu of LlamaIndex
RAG is a hack - with Jerry Liu of LlamaIndex
Latent Space
6 The End of Finetuning — with Jeremy Howard of Fast.ai
The End of Finetuning — with Jeremy Howard of Fast.ai
Latent Space
7 Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Latent Space
8 Powering your Copilot for Data - with Artem Keydunov from Cube.dev
Powering your Copilot for Data - with Artem Keydunov from Cube.dev
Latent Space
9 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Latent Space
10 The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
Latent Space
11 The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Latent Space
12 The AI-First Graphics Editor - with Suhail Doshi of Playground AI
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
Latent Space
13 The Accidental AI Canvas - with Steve Ruiz of tldraw
The Accidental AI Canvas - with Steve Ruiz of tldraw
Latent Space
14 The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
Latent Space
15 The Four Wars of the AI Stack - Dec 2023 Recap
The Four Wars of the AI Stack - Dec 2023 Recap
Latent Space
16 The State of AI in production — with David Hsu of Retool
The State of AI in production — with David Hsu of Retool
Latent Space
17 Building an open AI company - with Ce and Vipul of Together AI
Building an open AI company - with Ce and Vipul of Together AI
Latent Space
18 Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
Latent Space
19 A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
Latent Space
20 Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
Latent Space
21 Making Transformers Sing - with Mikey Shulman of Suno
Making Transformers Sing - with Mikey Shulman of Suno
Latent Space
22 A Comprehensive Overview of Large Language Models - Latent Space Paper Club
A Comprehensive Overview of Large Language Models - Latent Space Paper Club
Latent Space
23 Why Google failed to make GPT-3 -- with David Luan of Adept
Why Google failed to make GPT-3 -- with David Luan of Adept
Latent Space
24 Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
Latent Space
25 Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
Latent Space
26 Breaking down the OG GPT Paper by Alec Radford
Breaking down the OG GPT Paper by Alec Radford
Latent Space
27 High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
Latent Space
28 This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
Latent Space
29 LLM Asia Paper Club Survey Round
LLM Asia Paper Club Survey Round
Latent Space
30 How to train a Million Context LLM — with Mark Huang of Gradient.ai
How to train a Million Context LLM — with Mark Huang of Gradient.ai
Latent Space
31 How AI is Eating Finance - with Mike Conover of Brightwave
How AI is Eating Finance - with Mike Conover of Brightwave
Latent Space
32 How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
Latent Space
33 State of the Art: Training 70B LLMs on 10,000 H100 clusters
State of the Art: Training 70B LLMs on 10,000 H100 clusters
Latent Space
34 The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
Latent Space
35 Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
Latent Space
36 [LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
Latent Space
37 Synthetic data + tool use for LLM improvements 🦙
Synthetic data + tool use for LLM improvements 🦙
Latent Space
38 RLHF vs SFT to break out of local maxima 📈
RLHF vs SFT to break out of local maxima 📈
Latent Space
39 The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
Latent Space
40 Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
Latent Space
41 Answer.ai & AI Magic with Jeremy Howard
Answer.ai & AI Magic with Jeremy Howard
Latent Space
42 Is finetuning GPT4o worth it?
Is finetuning GPT4o worth it?
Latent Space
43 Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
Latent Space
44 Building AGI with OpenAI's Structured Outputs API
Building AGI with OpenAI's Structured Outputs API
Latent Space
45 Q* for model distillation 🍓
Q* for model distillation 🍓
Latent Space
46 Finetuning LoRAs on BILLIONS of tokens 🤖
Finetuning LoRAs on BILLIONS of tokens 🤖
Latent Space
47 Cursor UX team is CRACKED 💻
Cursor UX team is CRACKED 💻
Latent Space
48 Choosing the BEST OpenAI model 🏆
Choosing the BEST OpenAI model 🏆
Latent Space
49 How will OpenAI voice mode change API design?
How will OpenAI voice mode change API design?
Latent Space
50 STEALING OpenAI models data 🥷
STEALING OpenAI models data 🥷
Latent Space
51 [Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
Latent Space
52 [Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
Latent Space
53 The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
Latent Space
54 llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
Latent Space
55 Prompt Engineer is NOT a job 📝
Prompt Engineer is NOT a job 📝
Latent Space
56 Prompt Mining LLMs for better prompts ⛏️
Prompt Mining LLMs for better prompts ⛏️
Latent Space
57 The six pillars of few-shot prompting 🔧
The six pillars of few-shot prompting 🔧
Latent Space
58 Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
Latent Space
59 [Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)
[Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)
Latent Space
60 Can you separate intelligence and knowledge?
Can you separate intelligence and knowledge?
Latent Space

Related AI Lessons

Beyond the Spectrogram: How AI is Finally Solving the “Cocktail Party Problem”
AI is solving the 'Cocktail Party Problem' by isolating individual voices in noisy environments, revolutionizing audio processing
Medium · Deep Learning
Async Python for AI: Building High-Concurrency AI Applications
Learn to build high-concurrency AI applications using Async Python to improve performance and efficiency
Dev.to · ZNY
How to Lower Transcription Latency in Voice AI Systems: Practical Tips
Lower transcription latency in voice AI systems to 80-150ms using streaming STT and partial transcripts
Dev.to AI
Lore as Code: How I Used SDD to'Compile' a 30-Chapter Novel
Learn how to apply software engineering principles to transmedia storytelling using AI as a compiler for complex narratives
Dev.to AI
Up next
Update and audit a finance model in Excel with ChatGPT
OpenAI
Watch →