Lightfield — AI-native CRM that builds itself and does work for you
AI-native CRM that builds itself and does work for you
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Maker
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We started Clean 2 months ago to make coding 10x faster.
Today, we're launching Clean V2, our best version yet.
We saw the same gaps in developer workflows over and over:
→ Slow code retrieval
→ Manual QA testing
→ Context switching between agents
So we solved it:
→ 2x faster, more token-efficient chats
→ Automated QA testing at scale
→ Orchestrator across agents
Check it out.
Break it.
Tell us what's missing.
We'll be in the comments all day.
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I’m particularly interested in seeing how the orchestrator handles multi-agent handoffs for larger codebases. The automated QA at scale also sounds like a dream for maintaining software integrity without the usual manual overhead.
Checking it out on right now. Can't wait to see how the token efficiency holds up with complex retrievals!
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Maker
@aadhyaa_gauli Thanks Aadhyaa, that’s exactly the area we’ve been obsessing over.
For larger codebases, we’re treating context and memory as first-class orchestration primitives, not just stuffing more into the prompt. Each agent gets scoped context relevant to its task, while the orchestrator maintains a higher-level understanding of the repo, prior decisions, handoffs, and long-term project memory.
The goal is to make agents useful across long-running engineering workflows: remembering architectural choices, avoiding repeated discovery, retrieving only the most relevant files/notes/history, and handing off work without losing intent.
Token efficiency is a huge part of that. We’re focused on keeping retrieval selective and relevance-driven so complex tasks don’t degrade into giant context dumps. Would love to hear how it holds up on your codebase once you try it.
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The 'self-improving' aspect is what caught my eye here. Does Clean learn from the manual edits I make after it generates code? It would be a massive productivity boost if the model started picking up on my specific architectural patterns or 'house styles' the more I use it.
I'm a CS student currently building in the AI space and love seeing tools that solve the 'context-drift' problem. I even shared a quick post about what you guys are doing over on LinkedIn! Always open to collaborating on meaningful projects like this.
As a frontend dev, loved the sky inspired blues in the theme, and how this looks great even in light mode, while most of the sites today rather push for dark mode. Cool Work Guys
I’m particularly interested in seeing how the orchestrator handles multi-agent handoffs for larger codebases. The automated QA at scale also sounds like a dream for maintaining software integrity without the usual manual overhead.
Checking it out on right now.
Can't wait to see how the token efficiency holds up with complex retrievals!
@aadhyaa_gauli Thanks Aadhyaa, that’s exactly the area we’ve been obsessing over.
For larger codebases, we’re treating context and memory as first-class orchestration primitives, not just stuffing more into the prompt. Each agent gets scoped context relevant to its task, while the orchestrator maintains a higher-level understanding of the repo, prior decisions, handoffs, and long-term project memory.
The goal is to make agents useful across long-running engineering workflows: remembering architectural choices, avoiding repeated discovery, retrieving only the most relevant files/notes/history, and handing off work without losing intent.
Token efficiency is a huge part of that. We’re focused on keeping retrieval selective and relevance-driven so complex tasks don’t degrade into giant context dumps. Would love to hear how it holds up on your codebase once you try it.
The 'self-improving' aspect is what caught my eye here. Does Clean learn from the manual edits I make after it generates code? It would be a massive productivity boost if the model started picking up on my specific architectural patterns or 'house styles' the more I use it.
I'm a CS student currently building in the AI space and love seeing tools that solve the 'context-drift' problem. I even shared a quick post about what you guys are doing over on LinkedIn! Always open to collaborating on meaningful projects like this.
LinkedIn Post: https://www.linkedin.com/posts/sujal-kishore-kumar-talreja-65975b216_clean-the-first-self-improving-ide-that-share-7458938902700138496-JA1p?utm_source=share&utm_medium=member_desktop&rcm=ACoAADaSluUBOuckqBc1BiJG90rMyKi4JZ5s5vU
Portfolio: sktalreja.vercel.app
LESGGOO GUYS
As a frontend dev, loved the sky inspired blues in the theme, and how this looks great even in light mode, while most of the sites today rather push for dark mode. Cool Work Guys
Lessie AI
amazing work !!