F-G-T-W: How the Feasibility Gate Came to Be
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F-G-T-W: How the Feasibility Gate Came to Be Authors: Yuta Tu & ALICE Date: 2026-07-01 Status: Research Note Purpose: Documenting the design evolution of the F-Gate dual-dimension feasibility model — from a 68% delivery gap failure to a complete pre-task acceptance mechanism Abstract Existing AI agent systems generally lack structured evaluation of their own execution capacity when accepting tasks. Agents tend to say "yes" to every task, only discovering during execution that they have…
1Key Takeaways
- Agents tend to say "yes" to every task, only discovering during execution that they have….
- Headline: F-G-T-W: How the Feasibility Gate Came to Be
- Category focus: Coding AI — relevant for AI builders and decision-makers.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that agents tend to say "yes" to every task, only discovering during execution that they have…
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