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...
Thoughts on thinking
I have been stuck. Every time I sit down to write a blog post, code a feature, or start a project, I come to the same realization: in the context of AI, what I’m doing is a waste of time. It’s horrifying. The fun has been sucked out of the process...
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)
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
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.
Developers, Reinvented – Thomas Dohmke
What started as fear of AI replacing developers is switching to pragmatically embracing the ambitious reality of AI and viewing it as a growth opportunity. As we build the tools of tomorrow, we can usher developers through this reinvention of their role in ways that are intuitive, delightful, and cater to developers’ curiosity, keeping them fulfilled and happy during the transition. That makes us optimistic. Realistically.
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final output? We study these questions in the context of software development, using data on more than 100,000 GitHub developers combined with their AI usage telemetry. In a matched event study design, we find that autocomplete, interactive coding agents, and autonomous coding agents each significantly increase coding activity ("commits"), with respective cumulative effects of 40%, 140%, and 180%. These gains, however, attenuate sharply across the production hierarchy: the 180% cumulative effect falls to 50% for the number of projects, and to 30% for actual releases. This pattern is consistent with the weak-link hypothesis: the strong productivity gains from AI are attenuated by human bottlenecks in the production chain, with an estimated elasticity of substitution of 0.25 between AI and human effort, which indicates strong complementarities. We further confirm these results across four major app marketplaces, finding a moderate increase in the number of new apps but no increase in total usage. Large task-level AI productivity gains have therefore translated only partially into shipped and used software thus far.
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.
