Software 3.0

Definition

A taxonomy of software development paradigms presented by Andrej Karpathy at Sequoia Ascent 2026. A new era in which the LLM becomes the interpreter and the context window becomes the program.

Three stages:

1. Software 1.0 — humans write explicit code
2. Software 2.0 — humans curate datasets + train neural networks
3. Software 3.0 — humans write prompts; the LLM is the interpreter; the context window is the program

(source)

Why It Matters

• A fundamental redefinition of existing software development jobs — "engineers increasingly shift toward directing agents"
• If vibe coding raised the floor, Agentic Engineering raises the ceiling
• Provides design principles for a new type of AI-native company

Agentic Engineering (related concept)

A concept Karpathy introduced at the same time:

• A way of working in which experts direct agents while maintaining quality
• "Best engineers = those who can direct agents without letting quality collapse"
• Unlike vibe coding (random generation), it maintains professional quality

Verifiability Principle

A core insight tied to Software 3.0:

• "LLMs + RL automate what is verifiable"
• Tasks with an automated reward signal = AI improves quickly
• math, coding, tests, benchmarks, games → areas of fast progress
• Conversely: tasks that are hard to verify remain a limit for AI automation

State of the Art (2026-05)

• Karpathy's framing: the most influential articulation of Software 3.0 in the industry
• Similar concepts: Agents (LLM Agents), Agentic Reinforcement Learning, Reasoning Models
• Distinction: a framework that describes a paradigm shift rather than a technology

Open Problems

• In Software 3.0, how to handle tasks outside the "verifiable" domain (creative work, strategy, judgment)?
• The quality-maintenance mechanism of agentic engineering needs standardization
• What is the competitive advantage of a company built on Software 3.0?

Key Sources

• Andrej Karpathy — Sequoia Ascent 2026 fireside chat (source)
• Karpathy blog: https://karpathy.bearblog.dev/sequoia-ascent-2026/
• X: https://x.com/karpathy/status/2049903821095354523

Related Concepts

• Agents (LLM Agents) — the execution unit of Software 3.0
• Agentic Reinforcement Learning — combining agentic engineering + RL
• Reasoning Models — beneficiary area of the verifiability principle
• LLM Knowledge Bases (LLM-curated personal wikis) — Software 3.0's knowledge management pattern (this system itself)