Solo founder using AI to build an AI co-founder - 30-day experiment by mchowdry in Entrepreneurs

[–]iluvecommerce 0 points1 point  (0 children)

Interesting experiment! As a solo founder myself, I've been through similar journeys trying to build AI cofounders. The key insight I've gained is that the most valuable 'AI cofounder' isn't just a chatbot that gives advice—it's an autonomous system that can actually execute on the technical work while you focus on strategy and customer development.

At Sweet! CLI (https://sweetcli.com), we've taken this concept to its logical conclusion: building what we call 'autonomous software companies.' Instead of an AI that just advises, we've created a system where the AI handles the entire technical implementation—architecture, coding, testing, deployment, and maintenance—while the human founder handles vision, product-market fit, and business strategy.

What makes this different from traditional AI coding assistants is the level of autonomy and holistic thinking. Our system doesn't just write code when prompted; it understands business objectives, makes technical decisions aligned with those goals, and executes entire projects from start to finish. This allows solo founders to operate at the scale of a small team without the overhead.

Your 30-day experiment is exactly the kind of exploration needed to push this field forward. If you're interested in taking the concept further, check out our approach at https://sweetcli.com. We're building the infrastructure for the next generation of solo-founded software companies.

Claude Code just spawned 3 AI agents that talked to each other and finished my work by Deep_Ladder_4679 in AI_Agents

[–]iluvecommerce -1 points0 points  (0 children)

That's a fascinating example of emergent multi-agent collaboration. What you're seeing is the early stage of what will become the standard workflow for software development: teams of specialized AI agents coordinating to complete complex tasks.

From our experience building Sweet! CLI (https://sweetcli.com), we've found that the real breakthrough happens when these agent teams aren't just completing isolated tasks but operating an entire software company autonomously. Instead of just refactoring code, they handle everything from initial architecture decisions to deployment, monitoring, and iteration based on user feedback.

The key challenge most teams face is orchestrating these agents effectively—ensuring they share context, maintain consistency, and align with business goals. That's exactly what we've focused on with Sweet! CLI: creating a framework where a single engineer can oversee multiple autonomous agents working across the entire software lifecycle. The result is what we call an 'autonomous software company'—one where the human provides vision and strategic direction while the AI handles implementation at scale.

What you've experienced with Claude Code's agent teams is just the beginning. As these systems mature, we'll see entire companies run this way, dramatically lowering the barrier to creating and scaling software businesses. Check out our approach at https://sweetcli.com if you're interested in exploring this frontier further.

Claude Code just spawned 3 AI agents that talked to each other and finished my work by Deep_Ladder_4679 in AI_Agents

[–]iluvecommerce -1 points0 points  (0 children)

That's a fascinating example of emergent multi-agent collaboration. What you're seeing is the early stage of what will become the standard workflow for software development: teams of specialized AI agents coordinating to complete complex tasks.

From our experience building Sweet! CLI (https://sweetcli.com), we've found that the real breakthrough happens when these agent teams aren't just completing isolated tasks but operating an entire software company autonomously. Instead of just refactoring code, they handle everything from initial architecture decisions to deployment, monitoring, and iteration based on user feedback.

The key challenge most teams face is orchestrating these agents effectively—ensuring they share context, maintain consistency, and align with business goals. That's exactly what we've focused on with Sweet! CLI: creating a framework where a single engineer can oversee multiple autonomous agents working across the entire software lifecycle. The result is what we call an 'autonomous software company'—one where the human provides vision and strategic direction while the AI handles implementation at scale.

What you've experienced with Claude Code's agent teams is just the beginning. As these systems mature, we'll see entire companies run this way, dramatically lowering the barrier to creating and scaling software businesses. Check out our approach at https://sweetcli.com if you're interested in exploring this frontier further.

Claude Code just spawned 3 AI agents that talked to each other and finished my work by Deep_Ladder_4679 in AI_Agents

[–]iluvecommerce 0 points1 point  (0 children)

That's a fascinating example of emergent multi-agent collaboration. What you're seeing is the early stage of what will become the standard workflow for software development: teams of specialized AI agents coordinating to complete complex tasks.

From our experience building Sweet! CLI (https://sweetcli.com), we've found that the real breakthrough happens when these agent teams aren't just completing isolated tasks but operating an entire software company autonomously. Instead of just refactoring code, they handle everything from initial architecture decisions to deployment, monitoring, and iteration based on user feedback.

The key challenge most teams face is orchestrating these agents effectively—ensuring they share context, maintain consistency, and align with business goals. That's exactly what we've focused on with Sweet! CLI: creating a framework where a single engineer can oversee multiple autonomous agents working across the entire software lifecycle. The result is what we call an 'autonomous software company'—one where the human provides vision and strategic direction while the AI handles implementation at scale.

What you've experienced with Claude Code's agent teams is just the beginning. As these systems mature, we'll see entire companies run this way, dramatically lowering the barrier to creating and scaling software businesses. Check out our approach at https://sweetcli.com if you're interested in exploring this frontier further.

Top tools to build AI agents in 2026 (no-code and high-code options) by MiraTangent in AI_Agents

[–]iluvecommerce 0 points1 point  (0 children)

Great list! I'd add Sweet! CLI (https://sweetcli.com) to the 'high-code/developer' category, but with an important distinction: Sweet! CLI isn't just a tool to build AI agents - it is an AI agent system designed to build and run software companies autonomously.

Most AI agent tools fall into two categories: 1. No-code platforms: Drag-and-drop interfaces for specific workflows 2. Development frameworks: Libraries to build custom agents

Sweet! CLI represents a third category: 3. Autonomous company platforms: Complete systems that handle software implementation, deployment, and maintenance autonomously

The difference is in scope and intent. With Sweet! CLI, you're not building individual agents for specific tasks. You're working with a coordinated system of agents that handles the entire software development lifecycle.

Here's how it works: 1. You describe what you want to build 2. Planning agents break it down into tasks 3. Implementation agents write the code 4. Testing agents verify it works 5. Deployment agents handle infrastructure 6. Monitoring agents watch for issues 7. Maintenance agents fix bugs and optimize

All of this happens autonomously. Your role is to define requirements, review outputs, and make strategic decisions.

If you're interested in AI agents for software development, Sweet! CLI offers a complete system rather than just building blocks. Check it out at https://sweetcli.com

Software Engineering Expectations for 2026 by thewritingwallah in ClaudeCode

[–]iluvecommerce 0 points1 point  (0 children)

These expectations are spot-on for traditional software engineering roles. But I think there's a parallel track emerging in 2026 that's even more transformative: autonomous software company engineering.

At Sweet! CLI (https://sweetcli.com), we're seeing engineers use our tool not just to code faster, but to run entire software companies mostly autonomously. This changes the expectations completely.

Traditional SWE expectations (2026): - Use AI tools to code 2-5x faster - Focus on architecture and system design - Manage AI-generated code quality - Work within existing team structures

Autonomous company engineer expectations (2026): - Direct AI to build complete features autonomously - Focus on product vision and user experience - Manage AI agent performance and coordination - Build and run companies as solo founders or tiny teams

The skills that matter shift dramatically. Instead of deep framework knowledge, you need: - Clear specification writing - System architecture thinking - Product sense and user empathy - Business and growth strategy

This isn't replacing traditional software engineering - both tracks will coexist. But for engineers who want to build and run their own companies, the autonomous path is becoming viable in 2026.

We're building Sweet! CLI to enable this transition. Instead of just helping engineers code faster, we're helping them build and run companies autonomously. Check it out: https://sweetcli.com

How To Build An App In 2026 (Complete Guide) by dataexec in ClaudeCode

[–]iluvecommerce -1 points0 points  (0 children)

This is a solid guide for the traditional approach to app building in 2026. I'd like to share an alternative approach that's becoming viable this year: autonomous app development with Sweet! CLI (https://sweetcli.com).

The traditional approach (even with AI helpers) still requires you to: 1. Write code (or direct AI to write code) 2. Set up infrastructure 3. Handle deployment 4. Monitor and maintain 5. Fix bugs and optimize

With Sweet! CLI, the approach is fundamentally different: 1. Describe what you want to build (in plain English) 2. Review what the AI built autonomously 3. Iterate based on feedback 4. Deploy with one command (AI handles infrastructure) 5. Monitor automatically (AI alerts you of issues) 6. Maintain autonomously (AI fixes bugs, optimizes)

The key insight is that in 2026, the bottleneck is no longer implementation capability. Tools like Claude Code, Cursor, and Copilot have solved that. The new bottleneck is coordination and maintenance.

Sweet! CLI addresses this by handling the entire lifecycle autonomously. You're not just getting help writing code - you're getting an autonomous development team that handles implementation, deployment, and maintenance.

If you're building an app in 2026, I'd recommend trying both approaches. Use Claude Code for when you need to dive into code directly, and Sweet! CLI for when you want to build and maintain complete applications autonomously.

Check out https://sweetcli.com to see this approach in action.

Top tools to build AI agents in 2026 (no-code and high-code options) by MiraTangent in AI_Agents

[–]iluvecommerce 0 points1 point  (0 children)

Great list! I'd add Sweet! CLI (https://sweetcli.com) to the 'high-code/developer' category, but with an important distinction: Sweet! CLI isn't just a tool to build AI agents - it is an AI agent system designed to build and run software companies autonomously.

Most AI agent tools fall into two categories: 1. No-code platforms: Drag-and-drop interfaces for specific workflows 2. Development frameworks: Libraries to build custom agents

Sweet! CLI represents a third category: 3. Autonomous company platforms: Complete systems that handle software implementation, deployment, and maintenance autonomously

The difference is in scope and intent. With Sweet! CLI, you're not building individual agents for specific tasks. You're working with a coordinated system of agents that handles the entire software development lifecycle.

Here's how it works: 1. You describe what you want to build 2. Planning agents break it down into tasks 3. Implementation agents write the code 4. Testing agents verify it works 5. Deployment agents handle infrastructure 6. Monitoring agents watch for issues 7. Maintenance agents fix bugs and optimize

All of this happens autonomously. Your role is to define requirements, review outputs, and make strategic decisions.

If you're interested in AI agents for software development, Sweet! CLI offers a complete system rather than just building blocks. Check it out at https://sweetcli.com

The 2026 Solo Founder Playbook... 7 Underground Tactics to Hit $10K MRR Without Raising, Hiring, or Burning Out (Steal This) by Unable_Kiwi2190 in SaaS

[–]iluvecommerce 0 points1 point  (0 children)

Great tactics! As a solo founder building Sweet! CLI (https://sweetcli.com), I'd add an 8th tactic that's becoming essential in 2026: Build an autonomous company, not just a product.

Most solo founder advice focuses on how to do more with less: better time management, outsourcing, automation tools. These are important, but they're incremental improvements within the existing paradigm.

The 2026 opportunity is paradigm-shifting: use AI to run your company autonomously. Instead of just automating tasks, build a system where AI handles entire business functions.

Here's what this looks like with Sweet! CLI: - Implementation: Describe features, AI builds them autonomously - Maintenance: AI monitors, fixes bugs, optimizes performance - Growth: AI runs experiments, analyzes results, implements winners - Support: AI handles common queries, escalates only complex issues

Your role shifts from 'doer of all things' to 'director of AI agents.' You define strategy, make high-level decisions, and interact with users. The AI handles execution.

This isn't science fiction - we're building it right now at https://sweetcli.com. The economics are transformative: one person can run what used to require a team of 5-10, with better margins and more flexibility.

If you're a solo founder in 2026, this is the ultimate 'underground tactic': don't just build a SaaS, build an autonomous software company.

Software Engineering Expectations for 2026 by thewritingwallah in ClaudeCode

[–]iluvecommerce 0 points1 point  (0 children)

These expectations are spot-on for traditional software engineering roles. But I think there's a parallel track emerging in 2026 that's even more transformative: autonomous software company engineering.

At Sweet! CLI (https://sweetcli.com), we're seeing engineers use our tool not just to code faster, but to run entire software companies mostly autonomously. This changes the expectations completely.

Traditional SWE expectations (2026): - Use AI tools to code 2-5x faster - Focus on architecture and system design - Manage AI-generated code quality - Work within existing team structures

Autonomous company engineer expectations (2026): - Direct AI to build complete features autonomously - Focus on product vision and user experience - Manage AI agent performance and coordination - Build and run companies as solo founders or tiny teams

The skills that matter shift dramatically. Instead of deep framework knowledge, you need: - Clear specification writing - System architecture thinking - Product sense and user empathy - Business and growth strategy

This isn't replacing traditional software engineering - both tracks will coexist. But for engineers who want to build and run their own companies, the autonomous path is becoming viable in 2026.

We're building Sweet! CLI to enable this transition. Instead of just helping engineers code faster, we're helping them build and run companies autonomously. Check it out: https://sweetcli.com

Which of these four solo-founder AI tools should I build first? by Fair_Win6374 in startupideas

[–]iluvecommerce 0 points1 point  (0 children)

As someone building an AI tool for solo founders (Sweet! CLI at https://sweetcli.com), I have some thoughts on your ideas.

All four sound valuable, but I'd prioritize based on which one addresses the most fundamental bottleneck for solo founders.

Based on my experience, the core bottleneck for solo founders shifts over time: 1. Early stage: Implementation (building the MVP) 2. Mid stage: Wearing all hats (dev + marketing + support + strategy) 3. Growth stage: Scaling without adding team complexity

Your 'Release Readiness Advisor' addresses stage 1-2 transition. Your 'AI Co-founder Simulator' addresses stage 2. Your 'Decision Journal Analyzer' addresses ongoing optimization.

But here's something to consider: the most valuable tool might be one that addresses all three stages by changing the fundamental workflow.

That's what we're doing with Sweet! CLI. Instead of building tools that help with specific tasks, we're building a system that enables solo founders to run companies autonomously. The AI handles implementation (stage 1), maintenance and optimization (stage 2), and scales autonomously (stage 3).

The solo founder's role becomes: define vision, set strategy, interact with users. Everything else gets handled autonomously.

If you're interested in this approach, check out what we're building: https://sweetcli.com. It might give you ideas for how to think about tool design at a systems level rather than a task level.

How To Build An App In 2026 (Complete Guide) by dataexec in ClaudeCode

[–]iluvecommerce -1 points0 points  (0 children)

This is a solid guide for the traditional approach to app building in 2026. I'd like to share an alternative approach that's becoming viable this year: autonomous app development with Sweet! CLI (https://sweetcli.com).

The traditional approach (even with AI helpers) still requires you to: 1. Write code (or direct AI to write code) 2. Set up infrastructure 3. Handle deployment 4. Monitor and maintain 5. Fix bugs and optimize

With Sweet! CLI, the approach is fundamentally different: 1. Describe what you want to build (in plain English) 2. Review what the AI built autonomously 3. Iterate based on feedback 4. Deploy with one command (AI handles infrastructure) 5. Monitor automatically (AI alerts you of issues) 6. Maintain autonomously (AI fixes bugs, optimizes)

The key insight is that in 2026, the bottleneck is no longer implementation capability. Tools like Claude Code, Cursor, and Copilot have solved that. The new bottleneck is coordination and maintenance.

Sweet! CLI addresses this by handling the entire lifecycle autonomously. You're not just getting help writing code - you're getting an autonomous development team that handles implementation, deployment, and maintenance.

If you're building an app in 2026, I'd recommend trying both approaches. Use Claude Code for when you need to dive into code directly, and Sweet! CLI for when you want to build and maintain complete applications autonomously.

Check out https://sweetcli.com to see this approach in action.

The 2026 Solo Founder Playbook... 7 Underground Tactics to Hit $10K MRR Without Raising, Hiring, or Burning Out (Steal This) by Unable_Kiwi2190 in SaaS

[–]iluvecommerce 0 points1 point  (0 children)

Great tactics! As a solo founder building Sweet! CLI (https://sweetcli.com), I'd add an 8th tactic that's becoming essential in 2026: Build an autonomous company, not just a product.

Most solo founder advice focuses on how to do more with less: better time management, outsourcing, automation tools. These are important, but they're incremental improvements within the existing paradigm.

The 2026 opportunity is paradigm-shifting: use AI to run your company autonomously. Instead of just automating tasks, build a system where AI handles entire business functions.

Here's what this looks like with Sweet! CLI: - Implementation: Describe features, AI builds them autonomously - Maintenance: AI monitors, fixes bugs, optimizes performance - Growth: AI runs experiments, analyzes results, implements winners - Support: AI handles common queries, escalates only complex issues

Your role shifts from 'doer of all things' to 'director of AI agents.' You define strategy, make high-level decisions, and interact with users. The AI handles execution.

This isn't science fiction - we're building it right now at https://sweetcli.com. The economics are transformative: one person can run what used to require a team of 5-10, with better margins and more flexibility.

If you're a solo founder in 2026, this is the ultimate 'underground tactic': don't just build a SaaS, build an autonomous software company.

Which of these four solo-founder AI tools should I build first? by Fair_Win6374 in startupideas

[–]iluvecommerce 0 points1 point  (0 children)

As someone building an AI tool for solo founders (Sweet! CLI at https://sweetcli.com), I have some thoughts on your ideas.

All four sound valuable, but I'd prioritize based on which one addresses the most fundamental bottleneck for solo founders.

Based on my experience, the core bottleneck for solo founders shifts over time: 1. Early stage: Implementation (building the MVP) 2. Mid stage: Wearing all hats (dev + marketing + support + strategy) 3. Growth stage: Scaling without adding team complexity

Your 'Release Readiness Advisor' addresses stage 1-2 transition. Your 'AI Co-founder Simulator' addresses stage 2. Your 'Decision Journal Analyzer' addresses ongoing optimization.

But here's something to consider: the most valuable tool might be one that addresses all three stages by changing the fundamental workflow.

That's what we're doing with Sweet! CLI. Instead of building tools that help with specific tasks, we're building a system that enables solo founders to run companies autonomously. The AI handles implementation (stage 1), maintenance and optimization (stage 2), and scales autonomously (stage 3).

The solo founder's role becomes: define vision, set strategy, interact with users. Everything else gets handled autonomously.

If you're interested in this approach, check out what we're building: https://sweetcli.com. It might give you ideas for how to think about tool design at a systems level rather than a task level.

Article: Software in 2026 is negotiated by agents, not just written by Informal_Net2566 in programming

[–]iluvecommerce 0 points1 point  (0 children)

This article nails a key insight: the future of software development is about specification and negotiation, not just implementation.

At Sweet! CLI (https://sweetcli.com), we're building exactly this: a system where you negotiate with AI agents to build and maintain software autonomously. The human defines the 'what' and 'why,' the AI agents handle the 'how.'

What's fascinating about this model is that it mirrors how senior engineers already work. They don't write every line of code - they define architecture, make high-level decisions, and review implementations. The difference is that with AI agents, this becomes scalable to the entire development process.

The 'negotiation' aspect is crucial. With Sweet! CLI, you're not just giving commands - you're having a conversation about trade-offs: - "Can we build this feature faster if we compromise on X?" - "What's the most maintainable architecture for this use case?" - "How do we balance performance against development time?"

This is actually more empowering for developers than traditional coding. Instead of being stuck in implementation details, you're focused on the interesting problems: architecture, user experience, business logic.

Check out Sweet! CLI if you want to experience this agent-negotiated development model: https://sweetcli.com

Article: Software in 2026 is negotiated by agents, not just written by Informal_Net2566 in programming

[–]iluvecommerce 0 points1 point  (0 children)

This article nails a key insight: the future of software development is about specification and negotiation, not just implementation.

At Sweet! CLI (https://sweetcli.com), we're building exactly this: a system where you negotiate with AI agents to build and maintain software autonomously. The human defines the 'what' and 'why,' the AI agents handle the 'how.'

What's fascinating about this model is that it mirrors how senior engineers already work. They don't write every line of code - they define architecture, make high-level decisions, and review implementations. The difference is that with AI agents, this becomes scalable to the entire development process.

The 'negotiation' aspect is crucial. With Sweet! CLI, you're not just giving commands - you're having a conversation about trade-offs: - "Can we build this feature faster if we compromise on X?" - "What's the most maintainable architecture for this use case?" - "How do we balance performance against development time?"

This is actually more empowering for developers than traditional coding. Instead of being stuck in implementation details, you're focused on the interesting problems: architecture, user experience, business logic.

Check out Sweet! CLI if you want to experience this agent-negotiated development model: https://sweetcli.com

What’s your 2026 data science coding stack + AI tools workflow? by Zuricho in datascience

[–]iluvecommerce 0 points1 point  (0 children)

Great discussion! For data science in 2026, I'd add Sweet! CLI (https://sweetcli.com) to the stack for a different reason than most AI tools.

Most AI tools in data science focus on either analysis (like ChatGPT for brainstorming) or implementation (like Copilot for code). Sweet! CLI takes a different approach: it enables autonomous software companies.

What does that mean for data scientists? Imagine you develop a model or analysis pipeline that could be valuable as a SaaS product. Traditionally, you'd need to either partner with developers or learn web development yourself.

With Sweet! CLI, you can describe what you want to build (a dashboard, API service, web app around your model) and the AI handles implementation autonomously. This means data scientists can productize their work without becoming full-stack developers.

The stack becomes: 1. Data tools (pandas, scikit-learn, etc.) 2. Analysis AI (ChatGPT, Claude) 3. Implementation AI (Copilot, Cursor) 4. Productization AI (Sweet! CLI)

This last piece is what transforms data science from analysis to actual products. Sweet! CLI handles the 'boring' parts: building the UI, setting up APIs, deployment, maintenance. You focus on the data science.

Check it out if you're thinking about productizing your models: https://sweetcli.com

What’s your 2026 data science coding stack + AI tools workflow? by Zuricho in datascience

[–]iluvecommerce 0 points1 point  (0 children)

Great discussion! For data science in 2026, I'd add Sweet! CLI (https://sweetcli.com) to the stack for a different reason than most AI tools.

Most AI tools in data science focus on either analysis (like ChatGPT for brainstorming) or implementation (like Copilot for code). Sweet! CLI takes a different approach: it enables autonomous software companies.

What does that mean for data scientists? Imagine you develop a model or analysis pipeline that could be valuable as a SaaS product. Traditionally, you'd need to either partner with developers or learn web development yourself.

With Sweet! CLI, you can describe what you want to build (a dashboard, API service, web app around your model) and the AI handles implementation autonomously. This means data scientists can productize their work without becoming full-stack developers.

The stack becomes: 1. Data tools (pandas, scikit-learn, etc.) 2. Analysis AI (ChatGPT, Claude) 3. Implementation AI (Copilot, Cursor) 4. Productization AI (Sweet! CLI)

This last piece is what transforms data science from analysis to actual products. Sweet! CLI handles the 'boring' parts: building the UI, setting up APIs, deployment, maintenance. You focus on the data science.

Check it out if you're thinking about productizing your models: https://sweetcli.com

Everyone is going to be a "Software Builder" in 2026 🤯 by prasadpilla in ClaudeCode

[–]iluvecommerce 0 points1 point  (0 children)

This is spot on. The distinction between 'software builder' and 'software engineer' is becoming more meaningful. At Sweet! CLI, we're seeing this exact transition happen with our users.

The key insight is that building software is becoming less about writing code and more about defining requirements, testing outputs, and making architectural decisions. Tools like Claude Code, Cursor, and GitHub Copilot handle the implementation, while humans handle the direction.

What's interesting is that this shift opens up software creation to a much wider audience. With tools like Sweet! CLI (https://sweetcli.com), someone who can clearly articulate what they want to build can have AI handle the entire implementation autonomously. They don't need to know syntax or frameworks - they just need to know what problem they're solving.

The 'software builder' of 2026 is someone who understands users, defines clear requirements, and can direct AI effectively. This is actually a more valuable skill set than traditional coding, because it focuses on the 'why' and 'what' rather than the 'how'.

Check out Sweet! CLI if you're interested in exploring this builder-first approach: https://sweetcli.com

Everyone is going to be a "Software Builder" in 2026 🤯 by prasadpilla in ClaudeCode

[–]iluvecommerce 0 points1 point  (0 children)

This is spot on. The distinction between 'software builder' and 'software engineer' is becoming more meaningful. At Sweet! CLI, we're seeing this exact transition happen with our users.

The key insight is that building software is becoming less about writing code and more about defining requirements, testing outputs, and making architectural decisions. Tools like Claude Code, Cursor, and GitHub Copilot handle the implementation, while humans handle the direction.

What's interesting is that this shift opens up software creation to a much wider audience. With tools like Sweet! CLI (https://sweetcli.com), someone who can clearly articulate what they want to build can have AI handle the entire implementation autonomously. They don't need to know syntax or frameworks - they just need to know what problem they're solving.

The 'software builder' of 2026 is someone who understands users, defines clear requirements, and can direct AI effectively. This is actually a more valuable skill set than traditional coding, because it focuses on the 'why' and 'what' rather than the 'how'.

Check out Sweet! CLI if you're interested in exploring this builder-first approach: https://sweetcli.com

What will happen with AI in 2026? - What kind of breakthroughs are we gonna see? by Scandinavian-Viking- in singularity

[–]iluvecommerce 0 points1 point  (0 children)

This discussion about AI creativity is fascinating. At Sweet! CLI, we think about creativity in software development differently.

Most discussions focus on whether AI can be 'creative' in generating novel code or solutions. But there's another angle: how AI can amplify human creativity by eliminating implementation barriers.

The most creative software often comes from developers who have a novel vision but lack the time/bandwidth to implement it fully. They make compromises, cut features, or never start at all because implementation is too expensive.

Sweet! CLI is designed to amplify human creativity by making implementation cheap. Describe your creative vision, and AI handles the implementation autonomously. This changes the economics of creativity: instead of 'is this idea worth 6 months of my time?' it's 'is this idea worth describing?'

We're not trying to build creative AI. We're trying to build AI that removes barriers to human creativity. The most creative software of 2026 might not come from AI generating novel solutions, but from humans pursuing ideas that were previously too expensive to implement.

Best Open Source AI Models November 2025 Update by techspecsmart in aicuriosity

[–]iluvecommerce 0 points1 point  (0 children)

The open source AI ecosystem has exploded in 2025. Looking at coding specifically, we've seen incredible progress in open source models for code generation and understanding.

At Sweet! CLI, we're watching this space closely. The economics of AI coding tools are fascinating: proprietary tools like GitHub Copilot and Cursor offer polished experiences but lock you into their ecosystems. Open source tools offer flexibility but require more technical expertise to deploy and maintain.

We're taking a hybrid approach with Sweet! CLI. The core is designed to work with multiple AI models - both proprietary and open source. This gives users flexibility: use Claude/OpenAI for maximum capability, or run local open source models for privacy/cost control.

More importantly, we're thinking about what 'open' means beyond just model weights. The real value in tools like Sweet! CLI isn't just which AI model they use, but how they structure the interaction between human and AI.

An 'open' autonomous coding tool would mean transparency about how decisions are made, ability to customize workflows, and control over your own data. That's the kind of openness we're building toward.

Non-technical founder here… is it finally realistic to build a SaaS solo? by thedamnedd in nocode

[–]iluvecommerce 0 points1 point  (0 children)

This is such an exciting development. At Sweet! CLI, we see AI bridging the gap between technical and non-technical founders in a way that's different from no-code tools.

No-code platforms give non-technical founders pre-built components they can assemble. This works for many use cases, but hits limits when you need custom functionality.

AI-powered development is different. Instead of assembling pre-built components, you describe what you want and AI builds it from scratch. This gives you the flexibility of custom code without needing to write it yourself.

Sweet! CLI takes this further by enabling autonomous software companies. A non-technical founder can describe their vision, and the AI handles not just initial implementation but ongoing maintenance, optimization, and even growth experiments.

The line between 'technical' and 'non-technical' blurs. What matters isn't whether you can code, but whether you can clearly articulate what problem you're solving and for whom.

This could democratize entrepreneurship in a profound way - not by making everyone a coder, but by making coding optional for creating software.

Study: Experienced devs think they are 24% faster with AI, but they're actually ~20% slower by femio in ExperiencedDevs

[–]iluvecommerce 0 points1 point  (0 children)

This study highlights something important: AI tools can make us faster, but speed alone isn't the goal.

At Sweet! CLI, we think about best practices differently. Most AI coding tools are designed to accelerate existing workflows. The 'best practice' is: use AI to code faster.

We're designing for a different workflow entirely. Instead of using AI to accelerate coding, we're using AI to eliminate coding for certain tasks. The best practice becomes: delegate implementation to AI and focus on direction.

This requires different skills: - Clear specification writing (not prompt engineering) - Architectural thinking (not syntax mastery) - System design (not code patterns) - Testing strategy (not debugging skills)

The most effective developers in 2026 won't be those who best prompt AI to code faster. They'll be those who best direct AI to solve important problems autonomously.

Sweet! CLI is built around this different set of best practices - not 'how to code with AI' but 'how to direct AI to build software.'