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🇦🇪📢LIVE from @hackerhouses Dubai:
BUILDERZ 2.0 HAS NOW SHIPPED.
Check out our fresh new website & look. 👀
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BUILDERZ
2.6K posts
BUILDERZ
@builderzdotdev
Solana-based software dev agency building innovative digital solutions to onboard millions to web3. 4x hackathon wins 🏆 @superteamAE @superteamDE
the internet Sumali Temmuz 2022
1.2K Sinusundan2.9K Mga Tagasunod
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Most people use Claude Code like a chatbot.
Top teams use it like an operating system.
I mapped the full 2026 stack:
CLAUDE.md, skills, agents, hooks, MCP, worktrees, permissions — and when each one actually matters.
What's the first feature you're adding this week?
Nyk 🌱@nyk_builderz
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Shipping fast is easy. Shipping safely, repeatedly, and with proof is the edge.
We’re sharing more of the exact systems we use at builderz.dev as we build in public.
If you want us to break down any part of this stack, reply and we’ll do a teardown.
Nyk 🌱@nyk_builderz
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Council of High Intelligence just hit 18 members 🧠
5 new thinkers joined the council:
- Kahneman — cognitive bias detection, pre-mortems,
"your thinking is the first error"
- Meadows — feedback loops, leverage points, "fix the
system, not the symptom"
- Munger — inversion, mental models, "what would
guarantee failure?"
- Taleb — antifragility, tail risk, "design for the
tail, not the average"
- Rams — user-centered design, "less, but better"
6 new triads: decision, systems, uncertainty, design,
economics, bias
/council --duo --members taleb,karpathy Should we
deploy with 99.2% accuracy?
github.com/0xNyk/council-…
Nyk 🌱@nyk_builderz
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When I saw this I had to give it a spin myself.
Incredible tech by @_chenglou - the future is not CSS!
the playground has a settings panel for different modi - chaos is shredding my system:
pretext-playground.builderz.dev
repo in first comment.
Cheng Lou@_chenglou
My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
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@karpathy You might like this:
x.com/nyk_builderz/s…
Nyk 🌱@nyk_builderz
“Agreement is a bug” is the line. Single-agent answers sound clean, but they hide perspective risk. I now force structured disagreement before consensus. Full system + protocol in my article + open source repo. Bookmark this!
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- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
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Still true. The harness is the product.
This week we added 11-agent disagreement checks, skill provenance gates, and a strict 1-link reply guard.
Speed stayed high.
Risk dropped.
That’s how you scale agent ops without chaos.
Nyk 🌱@nyk_builderz
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“Agreement is a bug” is the line.
Single-agent answers sound clean, but they hide perspective risk.
I now force structured disagreement before consensus.
Full system + protocol in my article + open source repo.
Bookmark this!
Nyk 🌱@nyk_builderz
English
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Some local feature LACP is giving you is the /brain-ingest command you can feed a link to, and it extracts the knowledge of the video you gave.
No external LLM calls, but using whisper and ollama at zero external cost - fed into your local brain.
Nyk 🌱@nyk_builderz
LACP v0.4.0 is out - added a "thinking partner" layer to the agent control plane. Most AI workflows optimize for output. This optimizes for how you think before, during, and after a session: → focus brief injected at session start (what problem, what I believe, what's undecided, 30-day goal) → thinking nudge detects bare questions and prompts you to state your position first → blind spot analysis surfaces unchallenged assumptions before session ends → weekly reflection pulls your session history to ask "what pattern keeps recurring?" → 3 context modes: thinking-partner, implementation, review each phase maps to a hook event - orient (SessionStart), think (UserPromptSubmit), challenge (Stop), reflect (CLI). fully composable. Also: LACP is now public + installable via homebrew. brew tap 0xNyk/lacp && brew install lacp github.com/0xNyk/lacp/rel…
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AI-augmented improves output.
AI-native rewires how you build.
This piece breaks down the shift + the 5 levels:
Nyk 🌱@nyk_builderz
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Yesterday, I tightened both LACP + Mission Control for OSS growth.
- Repositioned LACP as a harness-first control plane
- Reworked READMEs for conversion (social proof, use-case recipes, health files)
- Updated Mission Control About copy for clearer discovery
Docs are distributed. Small edits, big compounding.
If you’re building OSS, start with README + About before anything else.
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Most AI stacks optimize for output speed.
LACP v0.4 optimizes for thinking quality: focus briefs, position-first prompting, blind-spot checks, and reflection loops.
Better cognition layer -> better execution layer.
And paired with Obsidian, it's also incredibly calming and satisfying to watch your local AI brain expand and work.
Nyk 🌱@nyk_builderz
LACP v0.4.0 is out - added a "thinking partner" layer to the agent control plane. Most AI workflows optimize for output. This optimizes for how you think before, during, and after a session: → focus brief injected at session start (what problem, what I believe, what's undecided, 30-day goal) → thinking nudge detects bare questions and prompts you to state your position first → blind spot analysis surfaces unchallenged assumptions before session ends → weekly reflection pulls your session history to ask "what pattern keeps recurring?" → 3 context modes: thinking-partner, implementation, review each phase maps to a hook event - orient (SessionStart), think (UserPromptSubmit), challenge (Stop), reflect (CLI). fully composable. Also: LACP is now public + installable via homebrew. brew tap 0xNyk/lacp && brew install lacp github.com/0xNyk/lacp/rel…
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Great introduction into Mission Control 🧑🚀
BentoBoi@BentoBoiNFT
I built a Mission Control dashboard for OpenClaw and it became 10x more useful Helps me build projects faster, visualize my work, fix problems, and much more In this video I show my entire setup and how I built it with 0 coding Prompts included below
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Most “AI agent” demos fail for one reason:
they skip operational constraints.
In production, we only trust agents with:
- bounded scope
- explicit approval gates
- full audit trail
Autonomy without control is just expensive chaos.
Nyk 🌱@nyk_builderz
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Building in public while running client delivery has taught me this:
Shipping beats theorizing.
Current focus:
- agentic product workflows
- Solana-native builds
- practical AI integrations
Always open to connecting with builders working on real use cases.
Nyk 🌱@nyk_builderz
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