AI
KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments
MarkTechPostSunday, July 26, 2026 at 10:46 AM
RedScroll Brief
The KwaiKAT Team at Kuaishou has published the KAT-Coder-V2. 5 technical report, arguing that agentic coding capability is bottlenecked by training infrastructure rather than model scale. AutoBuilder raised environment construction success from 16.
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RedScroll Briefing
Extractive editorial brief — not a reprint of the original
What happened
The KwaiKAT Team at Kuaishou has published the KAT-Coder-V2. 5 technical report, arguing that agentic coding capability is bottlenecked by training infrastructure rather than model scale. AutoBuilder raised environment construction success from 16.
Why it matters
AI developments move capital, regulation, and competitive advantage across the tech stack.
Background
MarkTechPost reported on this under ai. RedScroll surfaces the signal with an extractive brief — not a reprint of the original article. Read the source for full reporting.
Timeline
MarkTechPost published: KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments
Story is in today’s RedScroll edition. Follow the original source for updates.
Economic impact
Secondary effects may show up in markets and supply chains linked to Team Releases and Coder.
More on
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Sources
MarkTechPost — original reporting. RedScroll provides an extractive briefing only.