NLP Lineage

24 February 2025 · Representation and retrieval

Claude Code

Claude Code

Anthropic

Date
24 February 2025
What the date marks
Product release
Kind
Product
Organisation
Anthropic
Access
subscription
Other dates
general availability 2025-05-22
Threads
In the guided tour
Chapter 13. Models that act
Learning phases
7. Agents

Too recent for its influence to be judged: no later milestone in the data descends from it yet. How levels are decided

Figures quoted here are reported by the organisation that built it, not independently verified.

Read the primary source (anthropic.com)

Full summary in progress. Until then, this page shows the milestone's record from the research data.

What it changed

Before it

AI coding lived in the editor as completions and chat. Devin and SWE-agent had shown the agent form a year earlier.

The problem

Editor plugins cannot run tests, read a repository or iterate until something works.

What it introduced

An agent in the terminal with the repository, the shell and the test suite, working a task for many turns.

Why it matters

It made agentic coding a daily professional tool rather than a demo, and defined the terminal-agent form factor.

What modern models inherit

The coding agent as standard developer tooling.

What came next

OpenAI's Codex agent, Gemini's Antigravity and the 2026 computer-using coding agents.

Before and after

The milestones it descends from, and the milestones that descend from it. Work developed alongside it is not counted. Weak links are left out unless you include them.

Before: where it came from

Claude Code has 48 documented ancestors across 11 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 18 turning points among them.

Claude Code has 48 documented ancestors across 11 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

Claude Code has 61 recorded ancestors, including indirect ones, across 11 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 18 turning points among them.

Claude Code has 61 recorded ancestors, including indirect ones, across 11 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

  1. 2025Claude CodeThis milestone.
  2. 2025Claude 3.7Claude Code was influenced by thisChapter 12. Thinking longer
  3. 2024MCPClaude Code was influenced by thisChapter 13. Models that act
  4. 2024Computer useClaude Code was influenced by thisChapter 13. Models that act
  5. 2024o1 Turning pointClaude 3.7 was influenced by thisChapter 12. Thinking longer
  6. 2024Claude 3.5 SonnetComputer use built directly on this
    Claude 3.7 built directly on this    Chapter 14. Where the threads meet now
  7. 2024Claude 3Claude 3.5 Sonnet built directly on thisChapter 14. Where the threads meet now
  8. 2023GPT-4VComputer use was influenced by thisChapter 11. Seeing and hearing
  9. 2023GPT-4 Turning pointGPT-4V built directly on thisChapter 7. The assistant goes public
  10. 2023ClaudeClaude 3 built directly on thisChapter 7. The assistant goes public
  11. 2022Constitutional AIClaude 3 built directly on thisChapter 6. Teaching models what people want
  12. 2022GPT-3.5 Turning pointGPT-4 succeeded thisChapter 7. The assistant goes public
  13. 2022HH-RLHFConstitutional AI built directly on this
    Claude was influenced by this    Chapter 6. Teaching models what people want
  14. 2022InstructGPT Turning pointGPT-4 built directly on thisChapter 6. Teaching models what people want
  15. 2022Chain of thought Turning pointo1 was influenced by thisChapter 12. Thinking longer
  16. 2021HHH assistantHH-RLHF built directly on thisChapter 6. Teaching models what people want
  17. 2021FLANInstructGPT was influenced by thisChapter 6. Teaching models what people want
  18. 2020RLHF for summarisation Turning pointInstructGPT built directly on thisChapter 6. Teaching models what people want
  19. 2020GPT-3 Turning pointChain of thought was influenced by thisChapter 5. Scale becomes a science
  20. 2020Scaling laws Turning pointGPT-4 built directly on thisChapter 5. Scale becomes a science
  21. 2019T5 Turning pointFLAN was influenced by thisChapter 4. Pretrain once, use everywhere
  22. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  23. 2019RLHF for LMsRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  24. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  25. 2019GPT-2 Turning pointScaling laws was influenced by this
    GPT-3 built directly on this    Chapter 4. Pretrain once, use everywhere
  26. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  27. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  28. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  29. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  30. 2018ELMoBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  31. 2018ULMFiTBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  32. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  33. 2017RLHF originConstitutional AI was influenced by thisChapter 6. Teaching models what people want
  34. 2017Transformer Turning pointScaling laws built directly on thisChapter 3. Attention, then only attention
  35. 2016Layer normTransformer built directly on this
    GPT-2 built directly on this    Chapter 3. Attention, then only attention
  36. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  37. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  38. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  39. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  40. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  41. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  42. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  43. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  44. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  45. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  46. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  47. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  48. 1997LSTM Turning pointSeq2seq built directly on thisChapter 1. Language as probability
  49. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability
  1. 2025Claude CodeThis milestone.
  2. 2025Claude 3.7Claude Code was influenced by thisChapter 12. Thinking longer
  3. 2024MCPClaude Code was influenced by thisChapter 13. Models that act
  4. 2024Computer useClaude Code was influenced by thisChapter 13. Models that act
  5. 2024o1 Turning pointClaude 3.7 was influenced by thisChapter 12. Thinking longer
  6. 2024Claude 3.5 SonnetComputer use built directly on this
    Claude 3.7 built directly on this    Chapter 14. Where the threads meet now
  7. 2024SWE-agentClaude Code was influenced by this (indirect influence)Chapter 13. Models that act
  8. 2024Claude 3Claude 3.5 Sonnet built directly on thisChapter 14. Where the threads meet now
  9. 2023SWE-benchSWE-agent built directly on thisChapter 13. Models that act
  10. 2023GPT-4VComputer use was influenced by thisChapter 11. Seeing and hearing
  11. 2023Function callingComputer use was influenced by this (indirect influence)
    MCP was influenced by this (indirect influence)    Chapter 13. Models that act
  12. 2023Process supervisiono1 was influenced by this (indirect influence)Chapter 12. Thinking longer
  13. 2023GPT-4 Turning pointGPT-4V built directly on this
    SWE-bench was influenced by this    Chapter 7. The assistant goes public
  14. 2023ClaudeClaude 3 built directly on thisChapter 7. The assistant goes public
  15. 2023ToolformerMCP was influenced by this (indirect influence)Chapter 13. Models that act
  16. 2022Constitutional AIClaude 3 built directly on thisChapter 6. Teaching models what people want
  17. 2022GPT-3.5 Turning pointGPT-4 succeeded thisChapter 7. The assistant goes public
  18. 2022ReActSWE-agent was influenced by this
    MCP was influenced by this (indirect influence)    Chapter 13. Models that act
  19. 2022HH-RLHFConstitutional AI built directly on this
    Claude was influenced by this    Chapter 6. Teaching models what people want
  20. 2022STaRo1 was influenced by this (indirect influence)Chapter 12. Thinking longer
  21. 2022InstructGPT Turning pointGPT-4 built directly on thisChapter 6. Teaching models what people want
  22. 2022Chain of thought Turning pointo1 was influenced by this
    ReAct built directly on this    Chapter 12. Thinking longer
  23. 2021WebGPTReAct was influenced by this
    Toolformer was influenced by this    Chapter 13. Models that act
  24. 2021HHH assistantHH-RLHF built directly on thisChapter 6. Teaching models what people want
  25. 2021FLANInstructGPT was influenced by thisChapter 6. Teaching models what people want
  26. 2021Codex / HumanEvalSWE-bench built directly on thisChapter 13. Models that act
  27. 2021CLIPGPT-4V was influenced by this (indirect influence)Chapter 11. Seeing and hearing
  28. 2020Vision TransformerCLIP built directly on thisChapter 11. Seeing and hearing
  29. 2020RLHF for summarisation Turning pointWebGPT built directly on thisChapter 6. Teaching models what people want
  30. 2020GPT-3 Turning pointToolformer built directly on thisChapter 5. Scale becomes a science
  31. 2020Scaling laws Turning pointGPT-3 was influenced by this
    GPT-4 built directly on this    Chapter 5. Scale becomes a science
  32. 2019T5 Turning pointFLAN was influenced by thisChapter 4. Pretrain once, use everywhere
  33. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  34. 2019RLHF for LMsRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  35. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  36. 2019GPT-2 Turning pointGPT-3 built directly on this
    CLIP built directly on this    Chapter 4. Pretrain once, use everywhere
  37. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  38. 2019Transformer-XLSparse Transformer was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  39. 2018BERT Turning pointVision Transformer was influenced by thisChapter 4. Pretrain once, use everywhere
  40. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  41. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  42. 2018ELMoBERT was influenced by this
    GPT-1 was influenced by this (indirect influence)    Chapter 4. Pretrain once, use everywhere
  43. 2018ULMFiTBERT was influenced by this
    GPT-1 was influenced by this (indirect influence)    Chapter 4. Pretrain once, use everywhere
  44. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  45. 2017RLHF origino1 was influenced by this (indirect influence)Chapter 6. Teaching models what people want
  46. 2017Transformer Turning pointGPT-2 built directly on this
    Sparse Transformer built directly on this
    Scaling laws built directly on this    Chapter 3. Attention, then only attention
  47. 2017ConvS2STransformer was influenced by this (indirect influence)Chapter 3. Attention, then only attention
  48. 2016Layer normGPT-2 built directly on thisChapter 3. Attention, then only attention
  49. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  50. 2015LM pretraining Turning pointBERT was influenced by this
    GPT-1 was influenced by this    Chapter 2. Words become vectors
  51. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  52. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  53. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  54. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  55. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  56. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  57. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  58. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  59. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  60. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  61. 1997LSTM Turning pointSeq2seq built directly on this
    ELMo built directly on this    Chapter 1. Language as probability
  62. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability

After: what it led to

No documented descendants are recorded for Claude Code without weak links.

No documented descendants are recorded for Claude Code without weak links.

No recorded descendants are recorded for Claude Code.

No recorded descendants are recorded for Claude Code.

Direct links and their sources

Where it came from

Influenced by

Developed alongside

What it led to

None recorded in the sources used.