Wednesday, October 14, 2026
JavaScript + LLM = Unstoppable
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Multiple AI agents dynamically working together in Dynamic Workflows |
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Dynamic Workflows will change the way developers code with AI forever. |
It fixes all the problems we've had to deal with when trying to use the same agent to do everything -- or when trying to make multiple agents work together. |
It combines hard-coded code and dynamic LLMs in a way we've never seen before -- to get the absolute best of both worlds. |
Dynamic Workflows allows Claude write its own JavaScript orchestration scripts on the fly and spin up tens to hundreds of parallel subagents to tackle giant tasks end-to-end. |
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It doesn't just spawn sub-agents randomly -- it deploys them in incredible structured and sophisticated ways. |
And the sub-agents are not just doing simple divide-and-conquer code generation like we've been seeing. |
They are intelligently combining themselves in a way that's perfectly customized to whatever massive task we give them. |
The different ways agents dynamically connect themselves in Dynamic Workflows: |
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Some of them might aggressively review the code another agent generated -- some might be there to pick the best code generated among a set of other agents. |
Let's dive deeper into Dynamic Workflows and see all the ways it can level up the workflows of so many developers. |
Dynamic Workflows in action — dozens of agents intelligently working together in incredible ways to perform a massive React-to-Solid migration: |
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1. Fixes all the biggest failures of single-context LLMs and agents |
Traditional AI agents operate inside a single conversation, which creates three major failure modes. |
Defeating agentic laziness |
Give one agent a task like reviewing 50 files for a security issue and it eventually becomes difficult to track progress. |
Tasks get summarized, details are missed, and the model may prematurely declare success. |
Dynamic Workflows solve this through… |
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State of Product reveals what AI still hasn’t solved |
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80% of product professionals say AI helps them ship faster, but customers aren’t seeing value any sooner. Atlassian’s State of Product 2027 explores the gains AI is delivering and the challenges that remain, from decision-making that hasn’t kept pace to gut instinct overriding customer evidence. |
Read the report |
Blu Dot surpasses 2,000% ROAS with self-serve CTV ads |
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Blu Dot used Roku Ads Manager to drive incredible results for its furniture sales event. Its strategy hinged on custom audiences and retargeting, where intent was strongest. |
“Roku has been a top performer,” said Blu Dot’s Claire Folkestad. “We have seen…CPMs lower than any other CTV partner we've worked with.” |
Learn More |
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