AI Engineer Code Summit 2026: Conference on Agentic Software Development

LinkAnnouncement

The AIE Code Summit 2026 takes place 10–12 November in San Francisco, gathering engineers, founders, and researchers working on coding agents. The single-track, selective event focuses on production workflows, System One models, and enterprise agent deployment. It targets advanced software engineers and tech leaders.

Key points

  1. Held at the Hilton Union Square in San Francisco across three days (10–12 November 2026).
  2. Three primary themes guide the agenda: scaling without slop, System One models, and critical app rewrites.
  3. Admission is application-only, priced at $1,499 for sessions plus an optional $299 workshop add-on.
  4. Candidates can apply manually or programmatically via a Model Context Protocol (MCP) endpoint.
  5. Keynote speakers and presenters represent organisations including Anthropic, Google DeepMind, OpenAI, and Databricks.

Why it matters

The conference highlights the ongoing shift from inline auto-completion tools to multi-agent architectures running autonomous rewrites and code evaluations in production.

Analysis

AIE Code returns for its second annual conference, bringing together roughly 1,000 practitioners building agentic software engineering systems. The event explicitly bypasses entry-level AI fundamentals to focus on technical depth, evaluation infrastructure, and production lessons.

Core Topics & Format

The conference agenda is built around three anchor themes:

  • Scaling without Slop: Combating low-quality AI-generated code in scaled development environments.
  • System One Models: Integrating fast, reactive model layers into development tooling.
  • Rewrites & Internal Agents: Case studies on re-architecting systems and rolling out internal AI agents across enterprise teams.

Following a dedicated workshop day on 10 November, the main programme runs as a single-track schedule alongside expo sessions, supported by a global livestream.

Found in

Summary generated by AI (Gemini 3.8 Flash, 10 November 2026). It may contain errors – the original source is authoritative.

Similar in content, found by the AI search.

  • Link:Diyi Yang, Michael Ryan, John Yang

    CS 329Z: Stanford Course on Engineering AI Agents

    Stanford University is running CS 329Z (Engineering AI Agents) for Fall 2026. The course explores the transition from monolithic language models to compound AI systems and autonomous agents. All lecture materials, syllabus details, and reading lists are made publicly available online.

    AI & LLMs· Resource

  • Link:IndyDevDan

    Tactical Agentic Coding: Moving Beyond In-the-Loop AI Assistance

    Tactical Agentic Coding (TAC), created by IndyDevDan, is a training framework focused on advancing from basic interactive AI coding to fully autonomous agentic engineering. Rather than remaining 'in the loop' via conversational prompting, software engineers are trained to combine deterministic code with non-deterministic agents like Claude Code to orchestrate self-correcting development pipelines.

    AI & LLMs· Resource

  • Link:Fredrik Falk

    Anthropic Splits Chat and Agent Billing: The True Cost of AI Agents

    Anthropic has updated its subscription model to separate interactive chat from Agent SDK consumption. Fredrik Falk examines the economics behind the move: while per-token costs continue to drop, the multi-step context re-processing required by autonomous agents is driving enterprise inference budgets rapidly upward.

    AI & LLMs· Opinion

  • Link:Anomaly

    OpenCode: Open-source AI coding agent

    OpenCode is an open-source AI coding agent running across terminals, IDEs, and desktop environments, offering integration with over 75 model providers.

    AI & LLMs· Tool

Let's talk about your project

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.