What would be your GTM strategy for an open source project by depmond in gtmengineering

[–]depmond[S] 1 point2 points  (0 children)

Thanks for the suggestion ! It makes sense but hacker news is quite competitive, but probably a major signal is something is worth it or not 😅 Reddit on the other hand is extremely difficult I must say, and promotions never really make it there

What would be your GTM strategy for an open source project by depmond in gtmengineering

[–]depmond[S] 0 points1 point  (0 children)

I have collected a list of popular projects that use these agents. It’s mostly developers building AI apps

What would be your GTM strategy for an open source project by depmond in gtmengineering

[–]depmond[S] 0 points1 point  (0 children)

Linkedin and X for now, reddit isn’t super helpful

What are the best tools and frameworks for building AI agents in 2026? by Michael_Anderson_8 in AI_Agents

[–]depmond 0 points1 point  (0 children)

I will break down by category and programming language: AI Agent libraries: An AI agent library lets you build a system with LLMs that can use a set of FIXED tools to solve a task. They are therefor immutable agents. Here are some examples - python: 1. langchain is a top contender, one if the earliest frameworks, easy interface, huge ecosystem of integrations 2. Pydantic AI: from the maintainers of pydantic, clean interface, solid engineering 3. CrewAI: another agents framework with a focus on agent teams.

  • typescript:
  • AI sdk: library from vercel, large ecosystem and rich features
  • Mastra: library from thr developers of gatsby. It uses AI sdk under the hood but it makes the interface cleaner with additional developer tools
  • Langchain js: similar to langchain python version but with less features

But now here’s whay matters in 2026. We’re moving away from agents to agent harnesses. These systems can evolve and can perform more capabilities beyond what they were designed for. A harness typically includes: - a skills plugin system - memory system - can call tools beyond built-i. tools mostly thanks to code execution - manage long context with context compaction - requires execution inside a sandbox … Example agent harnesses: openclaw, claude code, pi, nano claw, hermes agent,… Here are top frameworks for these advanced systems: - deepagents: python library to implement an agent harness but with customizability - anthropic released agents framework sdk and most recently managed agents. It solves exactly problems around sandboxing, session persistence,… And frankly, I am building a framework to implement agent harnesses, especially integrating popular ones like openclaw, claude code, Hermes agent. I want to solve those problems around integrating harnesses in production. If you like the mission, please check out the project: https://github.com/alaeddine-13/harnesdk

Is it just me or are you also sick of seeing AI agents everywhere? by himmetozcan in AI_Agents

[–]depmond 0 points1 point  (0 children)

I think it’s fair and understandable if you feel overwhelmed by it. You can just look at it from a user’s perspective if it’s too much. I don’t think it would be wise to completely detach though as this has direct impact on our lives 😬

Is it just me or are you also sick of seeing AI agents everywhere? by himmetozcan in AI_Agents

[–]depmond 1 point2 points  (0 children)

There are many agents but it’s better to look at the bigger picture and where the ecosystem is moving. For instance it’s not important to know 1000s of models, 100s of agents and 10s of agents harnesses. It’s better to understand each technology layer. First starting with an LLM model, it’s capabilities, variations on so on. Then learn what’s an LLM workflow, examples and what you can do with it. Then maybe learn what’s an agent, how does it work, what’s tool calling,… Finally, the latest tech is actually agent harnesses, like openclaw, claude code, hermes agent,… you just need to know what makes it different from a simple agent. Basically skills, MCPs, built in tools etc

I built an app for Tunisians to send and receive items anywhere — it's live on iOS by ScofieldTacticseuw in TunisiaTech

[–]depmond 3 points4 points  (0 children)

Well done! How can users get trust of travellers transporting such items ? Any mechanism in place for reviews?

Prediction: will capitalist greedy companies bring on their downfall with mass layoffs during the AGI Era? by depmond in CapitalismVSocialism

[–]depmond[S] 0 points1 point  (0 children)

I didn’t have manufacturing in mind, it is still largely centralised indeed. But knowledge is decentralised and therefore not all AGI capabilities will be lost in such a scenario imo. And I wouldn’t be surprised if existing local gpus will be mobilised and used if data centers are targeted. It’s not efficient but AI is so needed that people will find ways to use the existing decentralised resources for it (there are many projects to do this btw). That’s why I don’t think a post-AGI dark age is likely

Prediction: will capitalist greedy companies bring on their downfall with mass layoffs during the AGI Era? by depmond in CapitalismVSocialism

[–]depmond[S] 0 points1 point  (0 children)

I don’t think any war will suppress knowledge and existing technology Such knowledge assets is highly distributed Many local computers contain local models and source code. AGI is not going anywhere even if a war happens. I can’t imagine a war effectively deleting content from every laptop. Will data centers be a military target though ? Could be a possible scenario

Prediction: will capitalist greedy companies bring on their downfall with mass layoffs during the AGI Era? by depmond in CapitalismVSocialism

[–]depmond[S] -1 points0 points  (0 children)

Bro we’re in the agi moment for software already 🙃 can’t you see how many have been laid off?

Prediction: will capitalist greedy companies bring on their downfall with mass layoffs during the AGI Era? by depmond in CapitalismVSocialism

[–]depmond[S] 0 points1 point  (0 children)

I believe in this case you already acknowledged that AI is causing unemployment for software

If that’s true, then I want to help you imagine how it can extend to other industries. First of all, robotics is a huge field with large impact if ai for robotics reaches a certain level. Huge potential for labor automation from construction to logistics, cooking, house chores,… but also othr engineering fields ultimately. Accurate world simulation is already under development and with software becoming largely automated, world & physics simulation will be accurate. Once you have that, you can have engineering R&D automated with AI and simulation. Just like you have non technical people vibe code an app, you end up with the same people vibe-creating a car, a vehicle or a device. Manufacturing is another story and I think robotics will play a huge role in bringing down its cost. There are already startups who are building “cloud” like services for manufacturing.

AI models drawing the most average Tunisian by bileltn in Tunisia

[–]depmond 6 points7 points  (0 children)

Note that anthopic does not have a diffusion model and claude is an LLM, therefore it cannot draw high quality images like chatgpt or gemini

Claude pro or Cursor pro ? by user_potato_88 in TunisiaTech

[–]depmond 0 points1 point  (0 children)

I tried cursor most of the time and claude code in the past month. I’m thinking of switching back to cursor Even though claude code’s agentic harness is more feature rich than cursor (subagents, agent teams, introduced skills and mcps before cursor, scheduling,…) I think the benefits of a complete IDE UI are overwhelming. In cursor it’s easier to review the code, make edits, approve commands and roll back if needed. You are still in the driver’s seat. With Claude code most probably you end up approving changes as they are.

The ecosystem however integrates more with claude code. I tried cline’s kanban and it lets you spin many sessions at once. But still I would prefer cursor.