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Developer-tools

Compile, test, and deploy to multiple chains from one IDE. MetaMask integration. AI that gets your code.

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Solana's Rise: Engineering AI-Assisted dApps

Solana's Rise: Engineering AI-Assisted dApps

Solana's Ascent: What the Numbers Actually Mean for Builders TL;DR:Solana added over 7,600 net-new developers in 2024, with ecosystem revenue growing 15x year-over-year, signaling a dec

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Cheetah AI Team
11 Mar, 2026
Ethereum Developer Report: Engineering at Scale

Ethereum Developer Report: Engineering at Scale

What 8.7 Million Contracts Actually Signal TL;DR:Ethereum deployed a record 8.7 million smart contracts in Q4 2025, driven by RWA tokenization, stablecoin activity, and core infrastruct

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Cheetah AI Team
11 Mar, 2026
AI Productivity Paradox: Experts Code Slower

AI Productivity Paradox: Experts Code Slower

The Study That Reframed the Conversation TL;DR:METR's July 2025 randomized controlled trial found experienced developers take 19% longer to complete tasks when using AI tools, despite e

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Cheetah AI Team
11 Mar, 2026
Skill Decay and AI: Keeping Web3 Devs Sharp

Skill Decay and AI: Keeping Web3 Devs Sharp

The Quiet Erosion Nobody Notices Until It's Too Late TL;DR:Skill decay in AI-assisted development is not dramatic; it accumulates gradually as developers accept generated code without d

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Cheetah AI Team
10 Mar, 2026
Agentic Coding: What Cursor's Architecture Means for Web3

Agentic Coding: What Cursor's Architecture Means for Web3

TL;DR:Cursor's agentic architecture moves beyond autocomplete into multi-step autonomous task execution, where an AI agent plans, writes, tests, and iterates across an entire codebase without

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Cheetah AI Team
10 Mar, 2026
Codex CLI: High-Reasoning Mode for Smart Contracts

Codex CLI: High-Reasoning Mode for Smart Contracts

TL;DR:Codex CLI's high-reasoning modes, particularly the xhigh setting, provide a materially different class of analysis than standard code completion, making them relevant for smart contract

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Cheetah AI Team
10 Mar, 2026
On-Chain Data Engineering: Pipelines That Actually Scale

On-Chain Data Engineering: Pipelines That Actually Scale

TL;DR:On-chain data is structurally unlike traditional application data, requiring purpose-built ingestion, decoding, and transformation layers before it becomes analytically useful The Grap

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Cheetah AI Team
10 Mar, 2026
Grounded Agents: Real Productivity for Web3 Teams

Grounded Agents: Real Productivity for Web3 Teams

TL;DR:42% of code written today is AI-assisted, a figure expected to climb to 65% within two years, yet 96% of developers say they do not fully trust AI-generated code The trust gap exists b

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Cheetah AI Team
10 Mar, 2026
MCP Goes Mainstream: Rebuilding Crypto Developer Tooling

MCP Goes Mainstream: Rebuilding Crypto Developer Tooling

TL;DR:MCP, introduced by Anthropic in late 2024, grew from an experimental standard to a protocol adopted by OpenAI, Microsoft, Google, and hundreds of third-party tool builders within roughly

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Cheetah AI Team
09 Mar, 2026
AI Upskilling: Strategies for Web3 Developers

AI Upskilling: Strategies for Web3 Developers

TL;DR:Model releases from major labs are now happening every six to eight weeks on average, creating a continuous upskilling burden for developers who rely on AI tooling as part of their daily

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Cheetah AI Team
09 Mar, 2026
The New Bottleneck: AI Shifts Code Review

The New Bottleneck: AI Shifts Code Review

TL;DR:AI coding assistants now account for roughly 42% of all committed code, a figure projected to reach 65% by 2027, yet teams using these tools are delivering software slower and less relia

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Cheetah AI Team
09 Mar, 2026
Web3 Funding 2025: Reshaping Blockchain Developer Tooling

Web3 Funding 2025: Reshaping Blockchain Developer Tooling

TL;DR:A $151M concentrated funding event in Web3 developer tooling sits within a broader $16.5B H1 2025 crypto deal surge, the largest half-year on record 65% of Q1 2025 Web3 funding went to

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Cheetah AI Team
06 Mar, 2026