Kaiku’s Weekly AI Roundup 29.09.2026
This week: small decision models versus generative LLMs, how much context is the right amount, and a repository-native take on agent task tracking.
More from the crew.
CLIs are hands, skills are knowledge, MCP is reach
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A simple model for deciding when an agent needs a command-line tool, when it needs a skill, and when it needs an MCP server.
AI EngineeringEngineering
Kaiku’s Weekly AI Roundup 21.09.2026
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This week: spec-driven development for coding agents, agent sandboxing tools maturing, a marketplace for hiring humans raising new security questions, and Anthropic edges into project-management territory.
AI EngineeringNews
To review, or not to review?
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Thoughts on how to approach reviewing code changes in the era of AI development agents.
AI EngineeringSDLC
The pipeline is the only reviewer that scales
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Why AI-native delivery means automatic deployments to every environment, including production, gated by tests instead of people.
AI EngineeringDelivery
Best place for your AI context (for now)
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Linear says issue tracking is dead. For enterprises, the boring answer is still: put your context where the whole business already reads it.
EngineeringSDLCAI Engineering
Kaiku at Vibe Code Finland
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Graham Daw and Akseli Manninen on why shared context is what makes AI-assisted delivery scale.
EventsAI Engineering
We moved to Kaikukatu after one epic year
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Kaiku is moving to our own office on Kaikukatu.
CompanyCulture
Skills: everyone's job, no one's responsibility
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Shared ownership make skills hard to get right, but gold when you do.
EngineeringSDLC
Kaiku at Context is King
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Graham Daw delivered a keynote at Wolt's office on how context changes everything in AI-augmented delivery.
EventsAI Engineering
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