Superconductor shares multiplayer agentic engineering: 1.05B tokens and 3.3K Claude runs monthly
AI Engineer · youtube · 2026-08-10
Arjun Singh from Superconductor shared practical experiences and architectural considerations in multiplayer agentic engineering.
Core Practices & Architecture:
- Automated Workflows: Agents can listen to meetings (e.g., autonomously listening at a booth for 4 hours), extract requirements, open tickets, and submit PRs with acceptance criteria.
- Cross-platform Connectivity: A single agent session must be reachable from Slack, desktop apps, and GitHub simultaneously, allowing teams to review code directly within conversation threads.
- Security & Isolation: Work runs in isolated cloud environments emphasizing least privilege. A configurable network sandbox prevents exfiltration and allows non-developers to trigger tasks safely.
- Internal Benchmarks: Instead of trusting public benchmarks like SWE bench, they replay historical PRs from their own repo to evaluate the balance of quality, cost, and time.
Operational Data:
In one month, they consumed 1.05 billion tokens, ran about 3,300 Claude Code sessions (worth $10,000), and ran even more Codex sessions to reduce costs.
More from coding & agent
- Claude Code Adds Cross-Session Messaging for Multi-Agent Workflows — Lanky-Cartoonist-358 · 2026-08-10
- Benchmarking 7 Self-Hosted Memory Providers for AI Agents with 71K Turns — max_paperclips · 2026-08-10
- CourseLit: Open-Source LMS for Selling Courses and Digital Downloads — tom_doerr · 2026-08-10
- ClawWork: Open-Source Project Tests if AI Can Earn Its Own Salary — dr_cintas · 2026-08-10
- Sunil Pai Proposes Every Company Needs a 'Cassandra' Agent — threepointone · 2026-08-10
- Open-Source Claude Code Plugin Generates Goldman Sachs-Style Equity Research Reports — tom_doerr · 2026-08-10