95❤ 2.7⭐ | by Poptocrack Yet Another Incremental Game (But This Time About Coding) is an idle clicker where your keyboard is your greatest weapon. Don’t worry, you don’t need to know how to code. Just roll your head on the keys, and watch characters magically appear as your projects take shape. There’s no “The End” (yet), but there’s always more code to generate, more upgrades to unlock, and more progress to chase. Features: Mash keys, spawn code – type anything (or nothing that makes sense) and your code grows. Hire AI assistants – automated helpers who type for you, so you can lean back. Recruit AI uber agents – specialists for one specific task, boosting production even further. Take on client projects – earn rewards by coding for imaginary customers. Unlock upgrades and achievements – keep pushing your efficiency to absurd levels. Idle progress – your AI keeps coding even while you’re away. Light narrative flavor – quirky messages and hints of a bigger mystery add some personality. Whether you’re here for the numbers going up, the absurdity of mashing your keyboard, or the dream of an AI-powered dev empire, this game delivers the core incremental loop fans love.
r/incremental_games
Welcome! This subreddit is for us lovers of games that feature an incremental mechanism, such as unlocking progressively more powerful upgrades, or discovering new ways to play the game. This genre is growing at a break-neck pace, be part of the revolution!
r/incremental_games
Welcome! This subreddit is for us lovers of games that feature an incremental mechanism, such as unlocking progressively more powerful upgrades, or discovering new ways to play the game. This genre is growing at a break-neck pace, be part of the revolution!
The antidote to AI fatigue — Answer.ai Solveit
No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer
AI Coding is Gambling
GambleAI I’ve been coding a lot with AI since November, when we all noticed it got really good. And it is quite good for instantly generating something th...
Scaling long-running autonomous coding · Cursor
We've been experimenting with running coding agents autonomously for weeks at a time.
where good ideas come from (for coding agents)
(and the part where users have to level up)
Stories | Cyrus
Insights, tutorials, and case studies on AI-powered development workflows. Learn how teams use Cyrus with Linear and Claude Code to ship 20x faster.
Everything is ugly, so go build something that isn't — Raiza Martin, Huxe (ex NotebookLM)
Cline - AI Coding, Open Source and Uncompromised
Open-source AI coding agent with Plan/Act modes, MCP integration, and terminal-first workflows. Trusted by 5M+ developers worldwide.
How Cursor is building the future of AI coding with Claude
Matt Pocock on Twitter / X
There's an AI coding approach that lets you run seriously long-running AI agents (hours, days) that ship code while you sleep. I've tried it, and I'm not going back.It's the Ralph Wiggum approach. Here it is in a nutshell:Run a coding agent with a clean slate, again and again…— Matt Pocock (@mattpocockuk) January 4, 2026
Cursor: AI coding agent
Built to make you extraordinarily productive, Cursor is the best AI coding agent.
CEO-Bench: Can Agents Play the Long Game?
Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real-world challenges require a combination of sophisticated skills that remain largely untested in agents: (1) navigating long horizons amid uncertainty; (2) acquiring information in noisy environments; (3) adapting to a changing world; (4) orchestrating multiple moving parts toward a coherent goal. We introduce CEO-Bench, which evaluates these capabilities together by simulating a representative real-world task: operating a startup for 500 days. An agent manages pricing, marketing, budgeting, and many other aspects of a fictional company through a programmable Python interface, operating in the same environment and facing the same challenges as a human CEO. Success demands analyzing noisy, interconnected business databases, translating signals into sound strategy, and coordinating many decisions with programming. The strongest agents write sophisticated code that simulates customer cohorts to forecast future cash and mines negotiation history to uncover hidden customer preferences. Even so, most state-of-the-art models struggle in this environment. Only Claude Opus 4.8 and GPT-5.5 finish above the $1M starting balance, and neither consistently turns a profit. CEO-Bench takes a first step toward measuring the intelligence required to drive sustained, adaptive progress over time.
How AI Impacts Skill Formation
AI assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how this assistance affects the development of skills required to effectively supervise AI remains unclear. Novice workers who rely heavily on AI to complete unfamiliar tasks may compromise their own skill acquisition in the process. We conduct randomized experiments to study how developers gained mastery of a new asynchronous programming library with and without the assistance of AI. We find that AI use impairs conceptual understanding, code reading, and debugging abilities, without delivering significant efficiency gains on average. Participants who fully delegated coding tasks showed some productivity improvements, but at the cost of learning the library. We identify six distinct AI interaction patterns, three of which involve cognitive engagement and preserve learning outcomes even when participants receive AI assistance. Our findings suggest that AI-enhanced productivity is not a shortcut to competence and AI assistance should be carefully adopted into workflows to preserve skill formation -- particularly in safety-critical domains.