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Claude Code

Claude Code — Technology. approach: Direct search via grep/glob without indexing · strength: Instruction following, code generation, tool use · self-writing: ~90% of code written by itself · category: CLI coding agent · category: Coding agent, CLI · creation_date: September 2024 · context_window: 1 million tokens · interface: terminal-first CLI agent · business model: Proprietary, bundled with Claude Pro/Max · affected_products: Claude Code, Claude Agent SDK, Claude Cowork · revenue: $500M annual (run-rate) · annualized revenue: ~$1 billion (November 2025) · role: De facto evaluation harness of the post: version 2.1.207 is cited as a measurement dependency for Terminal-Bench 2.1 and 3.0, Agents' Last Exam, CyberGym, ExploitGym, ExploitBench, PostTrainBench and SWE-Marathon — a Chinese lab uses it to measure its own model and those of its competitors. Also cited as a compatible client for GLM-5.3 · criticized role: "Behavioral funnel" / hostage layer locking down the dev · stack: TypeScript, React terminal · usage: Coding agent used cross-functionally at Anthropic (product, devrel, design write code) for end-to-end delivery · described_usage: Execution of detailed plans in Fidelity One and Two · reported uses: Prototyping by non-developers, code review, single-purpose agents, self-service analytics, assisted rebuilds; the features cited are MCP, skills, CLAUDE.md, Code Review, hooks, dynamic workflows, plan mode · corrected_version: v2.1.116 (April 20, 2026) · versions: `/goal` shipped v2.1.139 (May 11, 2026), branch 2.1.x, Opus 4.8 by default · publisher: Anthropic

Anthropic created Claude Code in September 2024 as a terminal-first CLI coding agent, written in TypeScript and React, that searches codebases directly with grep and glob rather than through an index. Boris Cherny (Head of Claude Code) and Cat Wu (Head of Product) reported in July 2026 that the tool writes roughly 90% of its own code, and that at Anthropic the product, devrel and design teams all write code with it. Revenue figures attached to it run from a 500M$ annual run-rate to around 1 billion $ annualized in November 2025.

What keeps drawing attention is its second life as measuring instrument. Z.ai ran almost all of its GLM-5.3 evaluations inside Claude Code 2.1.207 in August 2026, using an Anthropic harness to score its own model against Anthropic's and OpenAI's. DeepSeek shipped a Minimal mode explicitly for benchmarking in a minimal environment, while its own repository carries a CLAUDE.md and a .claude/skills directory.

Around it sits a layer of practice rather than product: CLAUDE.md, Agent Skills, hooks, subagents, git worktrees, slash commands. Jarred Sumner ran about 64 Claude instances across four worktrees for eleven days to rewrite Bun in Rust, at roughly 165,000 $ in tokens. Michael Segner's August 2026 startup guide gathers five operating rules from fifteen named companies, with figures the companies declared themselves and no survey method given.

Cherny places Anthropic at step 3 of his own five-step adoption scale.

Type
Technology
approach
Direct search via grep/glob without indexing
strength
Instruction following, code generation, tool use
self-writing
~90% of code written by itself
category
CLI coding agent
category
Coding agent, CLI
creation_date
September 2024
context_window
1 million tokens
interface
terminal-first CLI agent
business model
Proprietary, bundled with Claude Pro/Max
affected_products
Claude Code, Claude Agent SDK, Claude Cowork
revenue
$500M annual (run-rate)
annualized revenue
~$1 billion (November 2025)
role
De facto evaluation harness of the post: version 2.1.207 is cited as a measurement dependency for Terminal-Bench 2.1 and 3.0, Agents' Last Exam, CyberGym, ExploitGym, ExploitBench, PostTrainBench and SWE-Marathon — a Chinese lab uses it to measure its own model and those of its competitors. Also cited as a compatible client for GLM-5.3
criticized role
"Behavioral funnel" / hostage layer locking down the dev
stack
TypeScript, React terminal
usage
Coding agent used cross-functionally at Anthropic (product, devrel, design write code) for end-to-end delivery
described_usage
Execution of detailed plans in Fidelity One and Two
reported uses
Prototyping by non-developers, code review, single-purpose agents, self-service analytics, assisted rebuilds; the features cited are MCP, skills, CLAUDE.md, Code Review, hooks, dynamic workflows, plan mode
corrected_version
v2.1.116 (April 20, 2026)
versions
`/goal` shipped v2.1.139 (May 11, 2026), branch 2.1.x, Opus 4.8 by default
publisher
Anthropic
relations
120
Cited in
53 fiches

Adoption measures

Neighborhood

← created

Anthropic ORGANISATION high confidence evolving Source ↗
Boris Cherny PERSONNE high confidence stable Source ↗
Cat Wu PERSONNE high confidence stable Source ↗

→ is based on

modèle Claude TECHNOLOGIE high confidence evolving Source ↗
Prompt caching CONCEPT high confidence timeless Source ↗

→ is an instance of

agent terminal-first CONCEPT high confidence stable Source ↗

→ uses

subagents TECHNOLOGIE high confidence evolving Source ↗
TypeScript TECHNOLOGIE high confidence evolving Source ↗
Fenêtre de contexte de 1 million de tokens CONCEPT high confidence evolving Source ↗
Ink TECHNOLOGIE high confidence evolving Source ↗
Bun TECHNOLOGIE high confidence evolving Source ↗
git worktrees TECHNOLOGIE high confidence evolving Source ↗
Haiku 4.5 TECHNOLOGIE high confidence evolving Source ↗
Opus 4.5 TECHNOLOGIE high confidence evolving Source ↗
Sonnet 4.5 TECHNOLOGIE high confidence evolving Source ↗
TypeScript et React TECHNOLOGIE high confidence stable Source ↗
grep et glob TECHNOLOGIE high confidence stable Source ↗
Plan subagent TECHNOLOGIE high confidence evolving Source ↗

← uses

Jesse Vincent PERSONNE high confidence evolving Source ↗
Rakuten ORGANISATION high confidence stable Source ↗
Compound Engineering METHODOLOGIE high confidence evolving Source ↗
hyperresearch METHODOLOGIE high confidence evolving Source ↗
infrastructure contexte codifié METHODOLOGIE high confidence evolving Source ↗
Kieran Klaassen PERSONNE high confidence evolving Source ↗
Salesforce ORGANISATION high confidence stable Source ↗
Salvatore Sanfilippo PERSONNE high confidence evolving Source ↗

← competes with

Mistral AI CLI TECHNOLOGIE high confidence stable Source ↗

← applies to

Agent Skills TECHNOLOGIE high confidence evolving Source ↗
Superpowers TECHNOLOGIE high confidence evolving Source ↗
pédagogie socratique METHODOLOGIE high confidence stable Source ↗

→ enables

subagents CONCEPT high confidence timeless Source ↗
HTML (format de sortie agent) METHODOLOGIE high confidence timeless Source ↗
reconnaissance et exfiltration de données METHODOLOGIE high confidence stable Source ↗

← is part of

plugin Compound Engineering TECHNOLOGIE high confidence evolving Source ↗

← improves

SuperClaude TECHNOLOGIE high confidence stable Source ↗

← observed in

Trois incidents de dégradation qualité EVENEMENT high confidence stable Source ↗

← publishes

Anthropic ORGANISATION high confidence stable Source ↗

← is based on

Augment Code TECHNOLOGIE high confidence evolving Source ↗

→ improves

productivité ingénieur CONCEPT high confidence evolving Source ↗

→ is part of

Agents de codage TECHNOLOGIE high confidence timeless Source ↗

Cited in (53)