By
–
the anatomy of the perfect ๐ฆ๐ข๐จ๐.๐บ๐ฑ file for AI agents. ๐ฆ๐ข๐จ๐.๐บ๐ฑ is the one file you write yourself for an AI agent. it sits at the top of the system prompt, before memory, before skills, before tools. it defines who the agent is when it shows up. an hour spent on it
By
–
from prompt to context to harness engineering. three terms keep coming up in AI engineering, and they get conflated all the time. here is the cleanest way to understand what each one is and how they fit together. ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ถ๐ ๐๐ต๐ฒ ๐บ๐ฒ๐๐๐ฎ๐ด๐ฒ.
By
–
Solid list! Prompt versioning is another thing I would add here. You always need mechanisms to roll back a prompt change.
By
–
the dependency point is the real argument for bundles. a code review skill without a testing skill loaded gives you half the signal, and the agent has no way to know what's missing. bundles encode that pairing explicitly. you stop relying on the user or agent to remember which
By
–
skill bundles in Hermes agent. i found this to be the most underrated feature in Hermes. real workflows need clusters of skills together, not one at a time. for example, writing code might need a code review skill, a testing skill, and a PR workflow skill. every time, you're
By
–
The Operating System for Al Research Labs.
— Akshay ๐ (@akshay_pachaar) 20 mai 2026
TransformerLab orchestrates GPUs across any cloud and runs any training or eval workflow you define
Pre-built templates for LoRA, DPO, GRPO, MMLU, HellaSwag.
Use it from a GUI, CLI, or agent skill.
100% open-source and FREE to use. pic.twitter.com/Y7ZnUpT8T9
The Operating System for Al Research Labs. TransformerLab orchestrates GPUs across any cloud and runs any training or eval workflow you define Pre-built templates for LoRA, DPO, GRPO, MMLU, HellaSwag. Use it from a GUI, CLI, or agent skill. 100% open-source and FREE to use.
By
–
code as agent harness. a 102-page survey from Stanford, Meta, and UIUC on agent harnesses. the paper argues that code is no longer just the thing agents produce. itโs the medium through which they reason, act, and represent their environment. it calls this โcode as agent
By
–
RAG vs. CAG, clearly explained!
— Akshay ๐ (@akshay_pachaar) 19 mai 2026
RAG is great, but it has a major problem:
Every query hits the vector DB. Even for static information that hasn't changed in months.
This is expensive, slow, and unnecessary.
Cache-Augmented Generation (CAG) addresses this issue by enabling theโฆ https://t.co/WF8cHwTi7v pic.twitter.com/UwQy0ouxHQ
RAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector DB. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by enabling the
By
–
self-evolving skills in Hermes agent. i found this to be the most powerful feature in Hermes. the agent doesn't just solve problems, it remembers how it solved them. memory handles facts, and skills handle procedures. the difference matters because knowing that a Kubernetes
By
–
Hermes meets SuperGrok!
— Akshay ๐ (@akshay_pachaar) 17 mai 2026
xAI just made every SuperGrok subscription work inside Hermes Agent.
One browser login, no API key, no separate billing.
And it doesn't just unlock text chat with Grok 4.3.
The same OAuth token gives the agent access to:
โ Grok Text-to-Speech forโฆ https://t.co/yA2ojSOE7B pic.twitter.com/xhpfpfA3Ab
Hermes meets SuperGrok! xAI just made every SuperGrok subscription work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: โ Grok Text-to-Speech for