Claude Code: Anthropic's CLI Agent
Skills:
Agentic Coding90%AI Pair Programming80%AI-Assisted Code Review80%Tool Use & Function Calling70%
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
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Ep 18: Petaflops to the People — with George Hotz of tinycorp
Latent Space
FlashAttention-2: Making Transformers 800% faster AND exact
Latent Space
RWKV: Reinventing RNNs for the Transformer Era
Latent Space
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
Latent Space
RAG is a hack - with Jerry Liu of LlamaIndex
Latent Space
The End of Finetuning — with Jeremy Howard of Fast.ai
Latent Space
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Latent Space
Powering your Copilot for Data - with Artem Keydunov from Cube.dev
Latent Space
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Latent Space
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
Latent Space
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Latent Space
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
Latent Space
The Accidental AI Canvas - with Steve Ruiz of tldraw
Latent Space
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
Latent Space
The Four Wars of the AI Stack - Dec 2023 Recap
Latent Space
The State of AI in production — with David Hsu of Retool
Latent Space
Building an open AI company - with Ce and Vipul of Together AI
Latent Space
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
Latent Space
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
Latent Space
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
Latent Space
Making Transformers Sing - with Mikey Shulman of Suno
Latent Space
A Comprehensive Overview of Large Language Models - Latent Space Paper Club
Latent Space
Why Google failed to make GPT-3 -- with David Luan of Adept
Latent Space
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
Latent Space
Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
Latent Space
Breaking down the OG GPT Paper by Alec Radford
Latent Space
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
Latent Space
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
Latent Space
LLM Asia Paper Club Survey Round
Latent Space
How to train a Million Context LLM — with Mark Huang of Gradient.ai
Latent Space
How AI is Eating Finance - with Mike Conover of Brightwave
Latent Space
How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
Latent Space
State of the Art: Training 70B LLMs on 10,000 H100 clusters
Latent Space
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
Latent Space
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
Latent Space
[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
Latent Space
Synthetic data + tool use for LLM improvements 🦙
Latent Space
RLHF vs SFT to break out of local maxima 📈
Latent Space
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
Latent Space
Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
Latent Space
Answer.ai & AI Magic with Jeremy Howard
Latent Space
Is finetuning GPT4o worth it?
Latent Space
Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
Latent Space
Building AGI with OpenAI's Structured Outputs API
Latent Space
Q* for model distillation 🍓
Latent Space
Finetuning LoRAs on BILLIONS of tokens 🤖
Latent Space
Cursor UX team is CRACKED 💻
Latent Space
Choosing the BEST OpenAI model 🏆
Latent Space
How will OpenAI voice mode change API design?
Latent Space
STEALING OpenAI models data 🥷
Latent Space
[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
Latent Space
[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
Latent Space
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
Latent Space
llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
Latent Space
Prompt Engineer is NOT a job 📝
Latent Space
Prompt Mining LLMs for better prompts ⛏️
Latent Space
The six pillars of few-shot prompting 🔧
Latent Space
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
Latent Space
[Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)
Latent Space
Can you separate intelligence and knowledge?
Latent Space
More on: Agentic Coding
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Beyond the Spectrogram: How AI is Finally Solving the “Cocktail Party Problem”
Medium · Deep Learning
Async Python for AI: Building High-Concurrency AI Applications
Dev.to · ZNY
How to Lower Transcription Latency in Voice AI Systems: Practical Tips
Dev.to AI
Lore as Code: How I Used SDD to'Compile' a 30-Chapter Novel
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI