ADK 2.0 graph workflows beat imperative loops on token and context efficiency
rseroter · x · 2026-07-23
A post about workflow design argues that stateful loops can burn through tokens and saturate context very quickly.
The linked material says Balaji found that declarative graph workflows are more efficient than imperative loops in ADK 2.0.
The core takeaway is an engineering one: if your agent workflow keeps re-feeding full history every cycle, token growth compounds fast; a graph-style approach can reduce that overhead.
More from coding & agent
- Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents — dhruv2038 · 2026-09-11
- GPT-6 Astra beats Factorio with enemies in 44 in-game hours at ~$4,500 API cost — liminal_bardo · 2026-09-11
- 105 hidden bugs, 2 repos: DeepSeek V4.1 Flash fixes 24 at $1.80 vs Opus 5's 27 at $51.33 — ChartsJournalX · 2026-09-11
- Investment Analyst Asks How to Build a Claude-Based Diligence Agent Stack — Careless_Tie2286 · 2026-09-11
- Treating agents like 50 First Dates: a 3-layer context system so every conversation doesn't start from zero — evielync · 2026-09-11
- Running the Firefox MCP on Android via Termux, ngrok, and mcp-proxy — Nervous-Strain7544 · 2026-09-11