Build client prototypes via team chat agent
So, I run a small software development company having 20ish devs spanning over 4-5 enterprise grade client systems. Task: So, I run a small software development company having 20ish devs spanning over 4-5 enterprise grade client systems. It includes node, next, flutter, wordpress and all. Everyday, team reviews a handful of large PRs (5k+/1k-) and its was time consuming. For quick prototypes too for new prospective clients, everything requires a hell lot of manual work. For PRs and daily status and daily ios/apk builds for clients, it's almost a manual work so far, from sending team a notification regarding pr reviewed to sending client status and all. Enters Hermes. Tried with a couple of local models on 16gb vram. Agent goes into loop backs of tool calls. Of course. Then started using deepseek v4 flash. Somewhat better performance but not exactly what i was looking for. Tried v41 flash and its good. Slap full hermes on one vps. Gave root access. Provided access to my teams irc, repo access and cf access, nginx and almost set hermes free too take actions once I say yes after his active prompting to me. After a couple of days of tweaking, it automatically does most of my manual tasks which listed above. The skills creator skill is life saver. Now, my process is create a skill first for whatever I wanted to do, add test cases for it and then do the actual task. One nit is that it does not have a test skills which checks which skills will be picked up by what prompt so it's mostly trial and error only. It seamlessly connects with my handmade mcps to wrappers and almost everything. One con I feel is the session management over its gateways. I'm yet to find the option where i can continue my cli sessions to slack without corrupting its sqlitedb. Raised a couple of issues with fixes of hermes git already. Another con is that it's token hungry. Like it consumes a hell lot of tokens. Planning to use local models for easy tasks but need to find the solution. Suggestions always welcomed. Overall 8/10 agent. Slap me with your use cases. I'd be happy to know your hermes use cases.; tools: Hermes Agent. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include a VPS, root access, and specific model configurations (e.g., DeepSeek v41 flash). Local models on 16GB VRAM caused tool loops. The system is token-hungry, requiring cost management. Session continuity between CLI and Slack risks SQLite corruption. Human approval is mandatory before actions..
Tools
Published on Agent Work Atlas:
Overview
So, I run a small software development company having 20ish devs spanning over 4-5 enterprise grade client systems.
Workflow
So, I run a small software development company having 20ish devs spanning over 4-5 enterprise grade client systems. It includes node, next, flutter, wordpress and all. Everyday, team reviews a handful of large PRs (5k+/1k-) and its was time consuming. For quick prototypes too for new prospective clients, everything requires a hell lot of manual work. For PRs and daily status and daily ios/apk builds for clients, it's almost a manual work so far, from sending team a notification regarding pr reviewed to sending client status and all. Enters Hermes. Tried with a couple of local models on 16gb vram. Agent goes into loop backs of tool calls. Of course. Then started using deepseek v4 flash. Somewhat better performance but not exactly what i was looking for. Tried v41 flash and its good. Slap full hermes on one vps. Gave root access. Provided access to my teams irc, repo access and cf access, nginx and almost set hermes free too take actions once I say yes after his active prompting to me. After a couple of days of tweaking, it automatically does most of my manual tasks which listed above. The skills creator skill is life saver. Now, my process is create a skill first for whatever I wanted to do, add test cases for it and then do the actual task. One nit is that it does not have a test skills which checks which skills will be picked up by what prompt so it's mostly trial and error only. It seamlessly connects with my handmade mcps to wrappers and almost everything. One con I feel is the session management over its gateways. I'm yet to find the option where i can continue my cli sessions to slack without corrupting its sqlitedb. Raised a couple of issues with fixes of hermes git already. Another con is that it's token hungry. Like it consumes a hell lot of tokens. Planning to use local models for easy tasks but need to find the solution. Suggestions always welcomed. Overall 8/10 agent. Slap me with your use cases. I'd be happy to know your hermes use cases.
Reported result
The author reports that after tweaking, the agent automates most manual tasks, but provides no measured metrics for time saved or error reduction. Known issues include high token consumption, lack of skill routing tests, and session management bugs between CLI and Slack. The author rates the agent 8/10 but notes it requires significant trial and error.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include a VPS, root access, and specific model configurations (e.g., DeepSeek v41 flash). Local models on 16GB VRAM caused tool loops. The system is token-hungry, requiring cost management. Session continuity between CLI and Slack risks SQLite corruption. Human approval is mandatory before actions.
Try it
I am setting up Hermes Agent to automate PR reviews and build notifications for my software team. First, deploy Hermes on a VPS with root access to our IRC, Git repos, and Nginx. Use DeepSeek v41 flash as the primary model. Create a skill for 'Daily Status Update' that checks open PRs and triggers iOS/APK builds. Add test cases for this skill. Before enabling full automation, run a dry mode where the agent drafts messages and build commands but does not execute them. I will review the output for one sample day. If the drafts are accurate and token usage is within budget, I will approve the agent to send notifications and trigger builds. Ensure the agent prompts me for confirmation before any destructive action. Do not proceed to live execution until I confirm the dry run results.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.