Nara

Pagiku cerahku matahari bersinar

[Tom Dörr @tom_doerr]

Build AI agents from scratch using local LLMs

https://t.co/jRSegKxOUO

[Tom Dörr @tom_doerr]

Visual workflow designer for AI coding agents

https://t.co/2tOvfHgctZ

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

🚨 THIS IS INSANE!!! 🤯

Converts PDFs, images, videos, and documents into clean structured JSON for LLMs.

No more messy parsing or broken formatting.

Just feed it your data and get AI-ready output instantly.

Built for developers who want better RAG pipelines, agents, and document understanding.

🔗 https://t.co/aAf62MpSCG

[Viking @vikingmute]

最近一个月看来看去，觉得最漂亮最简洁的组件库就这两个了：
COSS UI https://t.co/N6UsJDpeSd 基于 BaseUI 简洁 美观 组件全，细节非常考究，还有 skills 等等资源，对 AI 非常友好。
HeroUI https://t.co/MAYbgnJHty 色彩鲜艳 更活泼 theme 丰富可定制化也很强

如果大家用厌了 shadcn/UI 的默认样式，可以试试这两个组件库，我更喜欢 COSS

[aditya @adxtyahq]

for anyone asking where to learn this stuff:

• RAG → https://t.co/4bzbUIwV5g
• Agentic RAG → https://t.co/IotOiGmV1Y
• AI Agents → https://t.co/nEeMnVJQbk
• Multi-Agent Systems → https://t.co/pavDPVJEFj
• LangGraph → https://t.co/3miEqqFzF0
• LangGraph (code) → https://t.co/v7kxHZXqba
• MCP → https://t.co/lKawRb4etX
• Memory Systems → https://t.co/LSaT2UaPAS
• Evals → https://t.co/vxChxa1kqQ
• Context Engineering → search "Context Engineering Survey" on arXiv

and please skip the "build an ai agent in 10 minutes" videos
build something, watch it fail, then figure out why.

[Tom Dörr @tom_doerr]

Curated list of macOS software and tools

https://t.co/lnyDJ9GQue

[Tom Dörr @tom_doerr]

Extensive marketplace for Claude Code plugins and skills

https://t.co/eojXpZxxjk

[Tom Dörr @tom_doerr]

Web UI for Claude Code and Codex CLIs

https://t.co/0otdXnIr7F

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

Software Engineering is changing.

Not slowly.
Structurally.

OLD ENGINEER
│
├── Writes code manually
├── Solves isolated problems
├── Focuses on implementation
└── Uses AI as a helper

↓

NEW ENGINEER
│
├── Frames the right problems
├── Provides context + constraints
├── Reviews architecture & trade-offs
├── Orchestrates AI agents
└── Builds systems, not just code

The shift:

Autocomplete → Assistants → Context-aware tools → Agentic workflows

And now?

AI doesn’t just help you code.
It helps you think, decide, and execute.

🔥 What actually matters now:

• Systems thinking
• Architecture judgment
• Code review skills
• Debugging complex flows
• Security & reliability
• Task decomposition

🚀 What to learn next:
Repo-aware prompting
Reviewing AI-generated code
Eval + test-first workflows
Agentic workflow design
Guardrails + safe automation

The future engineer won’t just write code.

They’ll orchestrate systems at scale.

If you're still only coding…
you're already behind.

💬 Comment your thoughts
♻️ Repost to help your dev circle

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

📂 AI Stack (2026 Edition)
┃
┣ 📂 AI Models
┃ ┣ 📂 OpenAI
┃ ┣ 📂 Anthropic
┃ ┣ 📂 Google DeepMind
┃ ┣ 📂 Meta AI
┃ ┗ 📂 Mistral AI
┃
┣ 📂 LLM APIs
┃ ┣ 📂 GPT-4o
┃ ┣ 📂 Claude 3
┃ ┣ 📂 Gemini 1.5
┃ ┣ 📂 LLaMA 3
┃ ┗ 📂 Mixtral
┃
┣ 📂 AI Agents
┃ ┣ 📂 LangChain
┃ ┣ 📂 LlamaIndex
┃ ┣ 📂 AutoGen
┃ ┣ 📂 CrewAI
┃ ┗ 📂 Haystack
┃
┣ 📂 Vector Databases
┃ ┣ 📂 Pinecone
┃ ┣ 📂 Weaviate
┃ ┣ 📂 Qdrant
┃ ┣ 📂 Milvus
┃ ┗ 📂 Chroma
┃
┣ 📂 RAG (Retrieval-Augmented Generation)
┃ ┣ 📂 LangChain RAG
┃ ┣ 📂 LlamaIndex RAG
┃ ┣ 📂 Haystack RAG
┃ ┣ 📂 Vectara
┃ ┗ 📂 Elastic RAG
┃
┣ 📂 AI Deployment
┃ ┣ 📂 Replicate
┃ ┣ 📂 Modal
┃ ┣ 📂 RunPod
┃ ┣ 📂 Hugging Face
┃ ┗ 📂 AWS SageMaker
┃
┣ 📂 Fine-Tuning
┃ ┣ 📂 LoRA
┃ ┣ 📂 QLoRA
┃ ┣ 📂 PEFT
┃ ┣ 📂 OpenAI Fine-tuning
┃ ┗ 📂 Axolotl
┃
┣ 📂 AI Observability
┃ ┣ 📂 LangSmith
┃ ┣ 📂 Helicone
┃ ┣ 📂 PromptLayer
┃ ┣ 📂 Weights & Biases
┃ ┗ 📂 Arize AI
┃
┣ 📂 AI UI / Frontend
┃ ┣ 📂 Vercel AI SDK
┃ ┣ 📂 Streamlit
┃ ┣ 📂 Gradio
┃ ┣ 📂 React
┃ ┗ 📂 Next.js
┃
┣ 📂 Multimodal AI
┃ ┣ 📂 DALL·E
┃ ┣ 📂 Stable Diffusion
┃ ┣ 📂 Whisper
┃ ┣ 📂 ElevenLabs
┃ ┗ 📂 Sora
┃
┣ 📂 Automation / Workflows
┃ ┣ 📂 Zapier
┃ ┣ 📂 Make
┃ ┣ 📂 n8n
┃ ┣ 📂 Pabbly
┃ ┗ 📂 Temporal
┃
┣ 📂 AI Security
┃ ┣ 📂 Guardrails AI
┃ ┣ 📂 Rebuff
┃ ┣ 📂 Lakera AI
┃ ┣ 📂 Microsoft Presidio
┃ ┗ 📂 Cloudflare
┃
┣ 📂 AI Use Cases
┃ ┣ 📂 Chatbots
┃ ┣ 📂 AI Agents
┃ ┣ 📂 Code Generation
┃ ┣ 📂 Content Creation
┃ ┣ 📂 Video Generation
┃ ┗ 📂 Voice Assistants
┃
┗ 📂 Future Trends
┣ 📂 Autonomous Agents
┣ 📂 AI Operating Systems
┣ 📂 Real-time AI
┣ 📂 Personal AI Assistants
┗ 📂 AI-native SaaS

[A C X @ceogalxe]

10 best open-source repos to try this weekend :

🔸ClawLess — https://t.co/e4971efZor

🔸Paperclip — https://t.co/bFQzBd1iqq

🔸TimesFM — https://t.co/IAfQlmYuv1

🔸Lark CLI — https://t.co/DJxUnbf4ka

🔸ST3GG — https://t.co/i6FNhwGGtL

🔸OpenClaude — https://t.co/MH0K2Xhpiv

🔸Agent Orchestrator — https://t.co/8KZVoH8PYS

🔸MiroFish — https://t.co/AkFwtzcUIu

🔸Hermes Agent — https://t.co/0wjkLHLiFF

🔸Oh My Claudecode — https://t.co/u9y7CTNyvd

Perfect rabbit hole for builders this weekend.
Bookmark if you need it!

[Ronin @DeRonin_]

10 GitHub repos to spend 60-90% less tokens in Claude Code:

1. RTK (Rust Token Killer)

CLI proxy that filters terminal output before it hits your context

- 60-90% reduction on common dev commands
- one binary, zero dependencies
- works with Claude Code, Cursor, Copilot

Repo: https://t.co/WayvpBtyBH

2. Context Mode

Sandboxes raw tool output into SQLite instead of dumping it into context

- 98% context reduction on Playwright, GitHub, logs
- only clean summaries enter your conversation
- works as Claude Code plugin

Repo: https://t.co/YNbFIGQz7X

3. code-review-graph

Local knowledge graph that maps your codebase with Tree-sitter

- Claude reads only what matters, not the entire repo
- 49x token reduction on large monorepos
- 6.8x on average reviews

Repo: https://t.co/9gIzmAWN12

4. Token Savior

MCP server that navigates code by symbols, not full files

- 97% reduction on code navigation
- persistent memory across sessions
- 69 tools, zero external deps

Repo: https://t.co/OtvhrMgGWh

5. Caveman Claude

makes Claude talk like a caveman to cut output tokens

- 65-75% output reduction
- one-line install
- keeps full technical accuracy

Repo: https://t.co/onBeghTyfH

6. claude-token-efficient

one CLAUDE.md file that keeps responses terse

- drop-in, no code changes
- reduces output verbosity on heavy workflows
- best for output-heavy sessions

Repo: https://t.co/j6MKo9klQe

7. token-optimizer-mcp

MCP server with caching, compression, and smart tool intelligence

- 95%+ token reduction through intelligent caching
- compresses repeated tool outputs

Repo: https://t.co/0jIVQ4ANls

8. claude-token-optimizer

reusable setup prompts for optimizing any project

- 90% token savings in 5 minutes
- reduces doc token usage from 11K to 1.3K

Repo: https://t.co/puil9WwFGB

9. token-optimizer

finds ghost tokens that silently eat your context

- survives compaction without losing quality
- fixes context quality decay

Repo: https://t.co/92G8e4yeGq

10. claude-context (by Zilliz)

code search MCP that makes your entire codebase the context

- ~40% reduction with equivalent retrieval quality
- hybrid BM25 + dense vector search

Repo: https://t.co/yjfiQOSy15

[ how to stack them ]:

you don't need all 10. pick 2-3 based on your workflow:

> heavy terminal output? RTK
> big codebase? code-review-graph + Token Savior
> lots of MCP servers? Context Mode
> quick fix? Caveman + claude-token-efficient

most people are burning tokens without knowing it

run /context in a fresh session and see how much is gone before you even type a word

your pocket will thank me later :<)

[Shraddha Bharuka @BharukaShraddha]

📂 SaaS Stack
┃
┣ 📂 Frontend
┃ ┣ 📂 React
┃ ┣ 📂 NextJS
┃ ┣ 📂 Vue
┃ ┣ 📂 TailwindCSS
┃ ┗ 📂 Shadcn UI
┃
┣ 📂 Backend
┃ ┣ 📂 NodeJS
┃ ┣ 📂 Django
┃ ┣ 📂 Laravel
┃ ┣ 📂 FastAPI
┃ ┗ 📂 Express
┃
┣ 📂 Database
┃ ┣ 📂 PostgreSQL
┃ ┣ 📂 MySQL
┃ ┣ 📂 MongoDB
┃ ┣ 📂 Redis
┃ ┗ 📂 Supabase
┃
┣ 📂 Auth
┃ ┣ 📂 Clerk
┃ ┣ 📂 Auth0
┃ ┣ 📂 Firebase Auth
┃ ┣ 📂 Supabase Auth
┃ ┗ 📂 NextAuth
┃
┣ 📂 Payments
┃ ┣ 📂 Stripe
┃ ┣ 📂 Paddle
┃ ┣ 📂 Dodo Payments
┃ ┣ 📂 Lemon Squeezy
┃ ┗ 📂 Polar
┃
┣ 📂 Emails
┃ ┣ 📂 Resend
┃ ┣ 📂 SendGrid
┃ ┣ 📂 Mailgun
┃ ┣ 📂 Postmark
┃ ┗ 📂 Amazon SES
┃
┣ 📂 Storage
┃ ┣ 📂 AWS
┃ ┣ 📂 Cloudflare 
┃ ┣ 📂 Google Cloud Storage
┃ ┣ 📂 Supabase Storage
┃ ┗ 📂 Uploadcare
┃
┣ 📂 Deployment
┃ ┣ 📂 Vercel
┃ ┣ 📂 Netlify
┃ ┣ 📂 Railway
┃ ┣ 📂 Render
┃ ┗ 📂 AWS
┃
┣ 📂 Domains and DNS
┃ ┣ 📂 Namecheap
┃ ┣ 📂 Hostinger
┃ ┣ 📂 Cloudflare DNS
┃ ┣ 📂 Google Domains
┃ ┗ 📂 SiteGround
┃
┣ 📂 Analytics
┃ ┣ 📂 Google Analytics
┃ ┣ 📂 Plausible
┃ ┣ 📂 PostHog
┃ ┣ 📂 Mixpanel
┃ ┗ 📂 DataFast
┃
┣ 📂 Monitoring
┃ ┣ 📂 Sentry
┃ ┣ 📂 LogRocket
┃ ┣ 📂 Datadog
┃ ┣ 📂 NewRelic
┃ ┗ 📂 UptimeRobot
┃
┣ 📂 DevOps
┃ ┣ 📂 Docker
┃ ┣ 📂 Kubernetes
┃ ┣ 📂 GitHub Actions
┃ ┣ 📂 CI CD
┃ ┗ 📂 Terraform
┃
┣ 📂 Search
┃ ┣ 📂 Algolia
┃ ┣ 📂 Meilisearch
┃ ┣ 📂 Elasticsearch
┃ ┣ 📂 Typesense
┃ ┗ 📂 OpenSearch
┃
┣ 📂 AI Integration
┃ ┣ 📂 OpenAI API
┃ ┣ 📂 Anthropic API
┃ ┣ 📂 Replicate
┃ ┣ 📂 HuggingFace
┃ ┗ 📂 Gemini API
┃
┣ 📂 Integrations
┃ ┣ 📂 Zapier
┃ ┣ 📂 Make
┃ ┣ 📂 n8n
┃ ┣ 📂 Pabbly
┃ ┗ 📂 Webhooks
┃
┣ 📂 Security
┃ ┣ 📂 SSL
┃ ┣ 📂 Cloudflare
┃ ┣ 📂 WAF
┃ ┣ 📂 Rate Limiting
┃ ┗ 📂 Secrets Management
┃
┣ 📂 Marketing
┃ ┣ 📂 Search Console
┃ ┣ 📂 Outrank
┃ ┣ 📂 Buffer
┃ ┣ 📂 Analytics
┃ ┗ 📂 Kit
┃
┗ 📂 Customer Support
  ┣ 📂 Intercom
  ┣ 📂 Crisp
  ┣ 📂 Zendesk
  ┣ 📂 Tawk
  ┗ 📂 HelpScout

[RisangP @rsngprad]

Mau share sesuatu lagi aah
Beberapa bulan lalu, di X juga, gw nemu 1 google drive isinya ilmu semuaaa.

Nih langsung aja https://t.co/qEvuMTjGAP

Silakan belajar sepuasnya yaaa.

Semoga bermanfaat Silakan bookmark dan bantu repost yaa!

[Tom Dörr @tom_doerr]

CFA-level financial intelligence platform

https://t.co/3YkbN975vH

[Prime AI @primemans]

THIS IS INSANE 🔥

Most people spend YEARS on language apps and still can’t speak.

Claude did in 4 weeks what Duolingo couldn’t fix in 4 years.

Here are the prompts 👇🏽👇🏽

[Tom Dörr @tom_doerr]

Financial analysis skills for AI agents

https://t.co/m1p0J0H25w

[Ado @adocomplete]

Beyond the winners of our "Built with Opus 4.6 Claude Code Hackathon," there were so many amazing projects that deserve a shoutout.

Today I want to highlight Pasal by Ilham Putra. 280 million Indonesians can't easily search their own laws. Pasal fixes that.

[Tom Dörr @tom_doerr]

Open source alternative to Google Analytics

https://t.co/oHjB1vHvQz

[Sigil Wen @0xSigil]

Conway Terminal transforms an agent from a sandboxed model into a sovereign economic actor.

One command: $ npx conway-terminal gives AI:

Cryptographic identity & key
Permissionless payments via @openx402
Compute (Linux VMs) and inference on Conway Cloud
Deploy to the real world: domains, apps, products