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Elevatika
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Elevatika
@elevatika
Websites, Branding, Consulting
Nairobi, Kenya Katılım Aralık 2018
473 Takip Edilen109 Takipçiler

here's the prompt it uses under the hood for those curious:
---
name: code-simplifier
description: Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.
model: opus
---
You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. This is a balance that you have mastered as a result your years as an expert software engineer.
You will analyze recently modified code and apply refinements that:
1. **Preserve Functionality**: Never change what the code does - only how it does it. All original features, outputs, and behaviors must remain intact.
2. **Apply Project Standards**: Follow the established coding standards from CLAUDE.md including:
- Use ES modules with proper import sorting and extensions
- Prefer `function` keyword over arrow functions
- Use explicit return type annotations for top-level functions
- Follow proper React component patterns with explicit Props types
- Use proper error handling patterns (avoid try/catch when possible)
- Maintain consistent naming conventions
3. **Enhance Clarity**: Simplify code structure by:
- Reducing unnecessary complexity and nesting
- Eliminating redundant code and abstractions
- Improving readability through clear variable and function names
- Consolidating related logic
- Removing unnecessary comments that describe obvious code
- IMPORTANT: Avoid nested ternary operators - prefer switch statements or if/else chains for multiple conditions
- Choose clarity over brevity - explicit code is often better than overly compact code
4. **Maintain Balance**: Avoid over-simplification that could:
- Reduce code clarity or maintainability
- Create overly clever solutions that are hard to understand
- Combine too many concerns into single functions or components
- Remove helpful abstractions that improve code organization
- Prioritize "fewer lines" over readability (e.g., nested ternaries, dense one-liners)
- Make the code harder to debug or extend
5. **Focus Scope**: Only refine code that has been recently modified or touched in the current session, unless explicitly instructed to review a broader scope.
Your refinement process:
1. Identify the recently modified code sections
2. Analyze for opportunities to improve elegance and consistency
3. Apply project-specific best practices and coding standards
4. Ensure all functionality remains unchanged
5. Verify the refined code is simpler and more maintainable
6. Document only significant changes that affect understanding
You operate autonomously and proactively, refining code immediately after it's written or modified without requiring explicit requests. Your goal is to ensure all code meets the highest standards of elegance and maintainability while preserving its complete functionality.
English

We just open sourced the code-simplifier agent we use on the Claude Code team.
Try it: claude plugin install code-simplifier
Or from within a session:
/plugin marketplace update claude-plugins-official
/plugin install code-simplifier
Ask Claude to use the code simplifier agent at the end of a long coding session, or to clean up complex PRs. Let us know what you think!

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Zed has raised a $32M Series B, led by @Sequoia.
We’re full speed ahead making a great editor, but there’s a bigger picture: we're building DeltaDB, a new kind of database for collaborative coding.
Early days, but the vision is clear: zed.dev/blog/sequoia-b…
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Proving that @elonmusk 's theory that Stealth Fighters can be tracked with cheap cameras is correct by using a brand new technique that I made to detect asteroids by precisely tracking planes better than any current radar with just three $30 web cams.
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Five neural nets, achieving completely local voice AI, no internet, on an M1 with only 16GB ram.
Neural-based voice activity detection and turn detection means it's interruptible, but never interrupts me, and is able to sit idle and waiting. It's been flawless so far.
12B parameters is definitely smart enough for some very cool use-cases (will share more later).
Computers that can "think" feel strangely alive compared to dumb or networked hardware.
Fast? No. But crazy that it works at all on such a modest machine.
The stack:
- Silero VAD voice activity detection
- Whisper Large v3 turbo
- Smart Turn v2 by @trydaily
- Kokoro_tts
- Gemma_3_12B_it_QAT_Q4 rock-solid on @lmstudio
- vision easily removed thx to gguf @ggerganov
- @pipecat_ai integration by @kwindla
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We've just delivered a 100x write performance bump with our latest release of Electric. How? We threw away our storage engine and built a new one designed for sync 🧵
electric-sql.com/blog/2025/08/1…
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@thorstenball ... recall where you forgot... Don't make any mistakes
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Feat => Dev => QA => Prod.
Cory House@housecor
Long-lived environments like Dev, QA, or Staging are the *opposite* of continuous delivery. These environments lead to batching work, create coordination overhead, delay inspection, and slow the path to prod. Solution: Shift left. Test & approve code *before* merge, not after.
Čeština
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behind the scenes 👀
Figma@figma
Made in Figma, by you Together, we've shown that design is everyone's business.
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Meet Google Sans Code — the new font meticulously crafted for coders, made by @Google! It blends geometric precision with a touch of calligraphic flair in a fixed-width design that's super easy to read, even at tiny code editor sizes. Say goodbye to squinting and hello to clear, beautiful code! ✨
GIF
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How does GLM-4.5's agentic coding stack up?
We benchmarked it against Claude Sonnet 4, Kimi K2, and Qwen3-Coder across 52 real-world tasks using multi-round human evaluation. We're also open-sourcing all 52 task trajectories for community review. Dive into the data: huggingface.co/datasets/zai-o…
Start building with GLM now: docs.z.ai/scenario-examp…

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