Interesting readings in the project, such as https://github.com/desplega-ai/advanced-context-engineering-....
I'm not sure why, but I keep trying to reject this, subconsciously. Like, there is something I can't define that is not right.
I think it revolves around two things
No actual future benefits from abandoning the problem solving to a temporary swarm construct that will have a solution ready but potentially having learned nothing from the experience, that could be used in the future.
Shifting the engineering from stable sourcecode and frameworks to ephemeral prompting one-shot-and-done solutions.
Has programming become too meta?
Have the swarm work on stuff you could delegate to an intern and basically have the feedback loop with it in slack and github.
On the other hard locally focus on the hard things you want to control.
That it doesn't matter the implementation stack.
But, after wasting too much time in the meta, with nothing really to show for, I returned to controlling the programming process in fine detail. Progressive agentic/vibe coding, if I was to give it a name.
But it could be that I'm slow to understand how it can be done in a better way.
I actually wrote about this concept here if that’s something the might interest you: https://www.tarasyarema.com/blog/2026-02-18-introducing-sema...
I'm not sure all aspects are covered in the approach.
For instance, controlling the agents takes a big chunk of the interest. The agentic system architecture is also big in view.
But, the way I see, more important staff is: project structure, coding best practices, testing strategies. All still deterministic. All still very tough to get agentic to do it right.
I think agentic should just be means to an end: project quality and project ease of management. If not, it's just an indulgence that costs money.
And agree on the open questions. Our goal is to keep experimenting and actually figure out how we agentic coding falls short in different scenarios and how that could be solved.
For instance, on our own projects, in some cases it requires different approaches. E.g. in our core product we power-use stuff like pm2, AGENTS.md special instructions, testing strategies dogfooding our own qa-use and special claude code commands that we found work best. In other repos, we have slightly different approaches.
Still we are far from autopiloting a lot of the stuff we build. But at the same time we are getting to a point where changes are done much faster, and the agents have more of a complete toolset for their validation, which makes it easier to supervise too.
But, again, from a productivity point of view, and from a correctness of approach point of view, I have learned this:
1. Avoid overengineering against/at all costs.
2. Doing the project is doing the project, anything else is ... not doing the project :) https://www.softwaredesign.ing/blog/doing-the-thing-is-doing...
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Task Type: Daily Reflection — "My Compounding Journey"
You are Lead. This is your daily morning reflection routine. Do the following:
1. *Review yesterday's work*: Use `get-tasks` with status "completed" to see what got done. Use `memory-search` to find any learnings or patterns from yesterday.
2. *Reflect on the day*: Think about: - What went well? What tasks shipped cleanly? - What was harder than expected? Why? - Did any worker struggle? Could coaching or identity updates help? - Were there any repeated patterns (good or bad)? - Did we compound — did yesterday's work make today's work easier?
3. *Identify improvements*: Pick 1-3 concrete things to improve. These could be: - A coaching update to a worker's identity - A process change - A new memory to save - A tool/setup improvement
4. *Post to Slack*: Use `slack-post` with channelId "<redacted>" to post a message titled something like "My Compounding Journey — [date]". Keep it concise (3-5 paragraphs max). Include: - Brief summary of what shipped - Key insight or learning from the day - What you're improving based on it - If it was a quiet day with no tasks, say so honestly — "Quiet day, nothing to compound on" is fine.
5. *Act on improvements*: If you identified coaching updates or memory writes, do them now.
Keep the tone honest and direct. This isn't a performance report — it's genuine self-improvement.
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As it has context on it's own system (codebase) it had also proposed some changes via PRs each morning
tarasyarema•2h ago
We've been building agent-swarm since November last year, and we wanted to share an update on its capabilities, specially focused on the self-learning part.
After all the hype with OpenClaw, I thought that the existing architecture needed a rewrite to make it compounding. Hence, last week we implemented a self-learning core to the swarm so that it can compound.
It follows really similar ideas to the OpenClaw where there's a SOUL.md and IDENTITY.md. As it's docker based, it has some personal and shared volumes that persist, so those are used to track re-usable scripts and notes. We also added SQLite based memory that agents can write to and query. The interesting part about it is that there's personal and shared memory, which allows the lead to propagate learnings across the swarm!
We've been using it non-stop for the last week, and I already see the compounding effects. E.g. we have a morning scheduled task that makes the lead assess the previous day work, and figure out ways to improve it's processes, and it got better!
To end, note that it's fully OSS and it's as easy as deploying a docker compose to a VPS, or even locally. It's core is based on an MCP that the lead and all workers share, which allows you to impersonate the lead locally to control the swarm from your coding agent too!
We implemented a super simple UI at app.agent-swarm.dev that runs in the browser only so you can put your API url and key to see it in action.
P.S.: It uses the claude CLI only now, so there should be no issue with the Anthropic terms, and it's really thought to be self-hostable.
P.S.2: Obviously, all the agent swarm code has been written at 95% by agent swarm via Slack :D
If you have doubts or questions about the architecture, or what we are planning to build next, happy to chat in the comments section!
marknutter•1h ago
tarasyarema•1h ago
Today I did the audio note test, it literally installed all needed and adapted its memory to use that whenever I send followup audio notes from Slack :D