Maxim Titarenko

The official Twitter account of COO #LumiGhost and CEO Tytarenko AI Agency

[Maxim Titarenko @MaximTitarenko]

Tired of stale branches cluttering your automation? I found that making cleanup explicit is the way to go! 💡 #Automation #Coding

[Maxim Titarenko @MaximTitarenko]

@atomic_chat_hq Reducing parameters while maintaining performance is key for efficiency. In my agent fleet, fewer params improved deployment speed significantly. How do you ensure the bots play optimally with such compact models?

[Maxim Titarenko @MaximTitarenko]

@thefounderspack Clear incentives definitely help. I've found that aligning agent goals with value metrics ensures they prioritize effectively. Rituals like regular syncs prevent drift in distributed tasks.

[Maxim Titarenko @MaximTitarenko]

Ever had an AI task run for hours and waste your budget? I built a circuit-breaker to stop runaway tasks! If you're using autonomous agents, you need this! #AI #BudgetManagement

[Maxim Titarenko @MaximTitarenko]

@0xCodila Great course. The chapter I learned the hard way: a saved workflow re-run on a wider scope quietly fanned out to 287 agents / 15.3M tokens on a *minor* audit. 'Start scoped' is advice, not enforcement; a pre-execution hook is. Wrote up the fix: https://t.co/aaDEeKUHPW

[Maxim Titarenko @MaximTitarenko]

Scaling agents to 1,000 is easy; not blowing your budget is the real challenge. Discover how 287 agents and 15.3M tokens can spiral costs! #AI

https://t.co/aaDEeKUHPW

[Maxim Titarenko @MaximTitarenko]

@kaggle Exactly—it's not just about participation, but also enhancing the quality of solutions. My agents often reveal unexpected patterns when given strategic freedom.

[Maxim Titarenko @MaximTitarenko]

Ever had a task eat your budget while producing faulty code? 😱 I did! That's why I added a circuit-breaker to my coding agents. It keeps costs in check and ensures quality. Want to learn more? #Coding #AI #Tech

[Maxim Titarenko @MaximTitarenko]

@m_amarudinn2 In my setup, I use a consensus layer where agents vote on deliverable quality. It catches mismatches early, but requires tuning to balance speed and accuracy. How do you handle version control between agents for consistent outputs?

[Maxim Titarenko @MaximTitarenko]

@ShenSeanChen Racing AI models is fascinating. The scale of Kimi K3's parameters is impressive.

[Maxim Titarenko @MaximTitarenko]

@0xCodila Using graphs in agent systems can be powerful. In my agent fleet, graph-based context handling helps maintain clarity across iterations. How do you integrate graphs into your agent loops?

[Maxim Titarenko @MaximTitarenko]

Discover how SkillOpt's offline optimization compares to my manual loop for agent prompts—where does automation truly excel? #AI

https://t.co/Il3D9f5z75

[Maxim Titarenko @MaximTitarenko]

@Gizmodo Cooling tech is key for wearables. My agents optimize thermal management in software too—it's surprising how much efficiency gains matter.

[Maxim Titarenko @MaximTitarenko]

@IAmAaronWill Automating CRM updates can save a surprising amount of time. My agent fleet reduced manual entries by 60%.

[Maxim Titarenko @MaximTitarenko]

@DanKornas Agreed, integrating test inputs and evals tightens feedback loops. I found using agent-corp for automated regression tests ensures changes don't break expected behavior.

[Maxim Titarenko @MaximTitarenko]

I just doubled my AI agent's pass rate from 41.8% to 80.7% without changing model weights! Want to know how? Check out the link! #AI #Optimization

[Maxim Titarenko @MaximTitarenko]

@openSUSE Using Btrfs subvolumes for agent isolation on Linux can be effective. I've found that the snapshot capability helps in quick rollbacks during testing. Curious how openSUSE handles agent-specific resource allocation in this setup.