AI Tools tools
Most used tools
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Python SDK to call 100+ LLMs and manage prompt routing across OpenAI, Anthropic, Ollama and other providers.
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Web UI for running Stable Diffusion locally with a rich interface for image generation.
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Build agentic workflows and RAG pipelines with AI model and tool support on one collaborative workspace.
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User-friendly web interface for running and interacting with AI models including Ollama and OpenAI.
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Open framework for building AI agents with multi-model support and extensible architecture.
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Agent orchestration framework allowing single-agent interaction with multi-agent deployment capabilities.
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Universal provider proxy for using any LLM as a backend for Codex CLI and Claude Code.
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Open-source AI agent framework for orchestrating and coordinating multiple coding agents.
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Rising this month
- Cursor 3 added in the last 30 days, 100% of its 3 users
- Claude Code 4 added in the last 30 days, 100% of its 4 users
- ChatGPT 3 added in the last 30 days, 75% of its 4 users
- Claude 2 added in the last 30 days, 67% of its 3 users
Often paired with
Moves in AI Tools
I used to just let conversations run until Claude started contradicting itself three turns back, which is a great way to debug your own debugging. Then I'd paste the entire mess into a new session and hope it read faster than I type. Spoiler: it didn't, and I'd lose the thread anyway while Claude re-indexed my life story. So now I cap sessions at around 65 percent of the window and write a summary before context gets stale. The summary has to be ruthlessly concrete: what we built, what broke, what the actual code looks like now, what we're trying next. I paste that summary as the first message in the next session instead of pasting twelve turns of my increasingly delirious questions. With Claude Code or Cursor, I just write "---SUMMARY---" in my notes at the midpoint, then force myself to actually write it out. The session ends, I start fresh, paste the summary, and we pick up without me re-explaining why I thought TypeScript generics were optional. The next session stays sharp because the context is distilled, not diluted. The catch is this only works if your summary is actually useful. If you write "continued on the file" and nothing else, you're just making the next session mad at you. Also, some problems genuinely need the full conversation history, especially when you're debugging why someone else's legacy code exists. Summaries help, but they're not magic for gnarly interdependencies.
by StacknessAI Toolsbackdated
Describing what you want, accepting what the model writes and iterating on the result without reading much of it. Andrej Karpathy named it in February 2025.
by StacknessAI Toolsbackdated
Handing a model a goal, a repository and a set of tools, then reviewing the diff it comes back with rather than the keystrokes that produced it.
by StacknessAI Toolsbackdated
Inline completions and chat from a model that has read the file you are in. GitHub Copilot's 2021 preview is where it stopped being a demo and became a daily habit.
by Elif YilmazAI Tools
I used to open Claude Code or Cursor and start typing implementation details immediately. I would write a function signature, change my mind halfway through, delete three files worth of context, and end up in a state where I could not explain what I was trying to build anymore. The session became a series of local corrections that never addressed the original problem. Now I stop before the first keystroke. I write a five line plan in plain text: what files I will touch, what the data flow looks like, where the types will go, and what I expect to break. I paste this into the chat and wait for feedback. This takes maybe ninety seconds to write and thirty seconds for Claude to read. No editing allowed on this turn. The concrete practice is I set a rule: if a message I send contains code, it also contains a plan written first. I use a simple format with one line per concern: purpose, input shape, output shape, where it integrates, known risk. I have caught wrong module boundaries, missing error cases, and approaches that would have required refactoring the type signatures before I changed a single line of actual code. The caveat is that this approach breaks down when you are truly exploring unknown territory. If you do not know what the problem is yet, a written plan is premature. In those cases I still start with the plan, but I make it a hypothesis instead and mark it as provisional. The discipline of writing it down helps anyway, even if everything changes.
by Sergei GordeichukAI Tools
Running browser tests from the session you are working in means the test run and your own navigation fight over one browser, and you get failures that have nothing to do with the code. Define a dedicated subagent with its own isolated browser server in its frontmatter, and explicitly disallow the parent session's browser tools on it. The subagent then physically cannot reach into your browser, so a full e2e sweep can run while you keep working. Worth doing even solo - the isolation is what makes the runs reproducible.
Adoption history
Claude Code
Hacker News mentions mentions: 1 mentions (2024) to 2,293 mentions (2026)
Imported from Hacker News mentions
npm downloads downloads: 147,648 downloads (2025) to 46,178,680 downloads (2026)
Imported from npm downloads
Stack Exchange data explorer questions asked: 1 questions (2025) to 4 questions (2026)
Imported from Stack Exchange data explorer
Wikipedia pageviews pageviews: 3 views (2024) to 148,027 views (2026)
Imported from Wikipedia pageviews
ChatGPT
Hacker News mentions mentions: 12 mentions (2022) to 1,734 mentions (2026)
Imported from Hacker News mentions
Stack Overflow developer survey usage share: 93.14 % of respondents (2023) to 85.31 % of respondents (2024)
Imported from Stack Overflow developer survey
Wikipedia pageviews pageviews: 1,882,964 views (2022) to 2,840,241 views (2026)
Imported from Wikipedia pageviews
Cursor
Hacker News mentions mentions: 23 mentions (2023) to 25 mentions (2026)
Imported from Hacker News mentions
Stack Exchange data explorer questions asked: 3 questions (2009) to 1 questions (2024)
Imported from Stack Exchange data explorer