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May 13 – Sep 28, 2026 · 3-day buckets
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claude / pricing
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Showing 76–100 of 107 mentions
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Been using Quill for a month. The speed is genuinely impressive, opens instantly even with 5000 notes. Been using Quill for a month. The speed is genuinely impressive, opens instantly even with 5000 notes.view source ↗
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Show HN: Quill – a fast local-first note appview source ↗
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We have a year to fix security everywhereIt is and it isn't. Why are you comparing the m5max instead of the m4ultra? The big deal to me is the number of compute cores for prefill tps, which is suppose to be 4x faster on the m5ultra. It's my opinion that the m5 ultra is going to be a really big deal in terms of local AI accessibility. Flash sized models (~200-… It is and it isn't. Why are you comparing the m5max instead of the m4ultra? The big deal to me is the number of compute cores for prefill tps, which is suppose to be 4x faster on the m5ultra. It's my opinion that the m5 ultra is going to be a really big deal in terms of local AI accessibility. Flash sized models (~200-300b params) are going to be reasonably fast as long as you aren't throwing 40k context at it on each or the first request (ie, agentic harnesses). Even agentic harnesses like Cline should move at a reasonable clip on m5 ultra. I suppose we will know sooner than later. FYSA: Former m4 ultra 512GB owner and current 4x rtx6000 owner here. I upgraded because I needed more prompt processing speed and concurrency.view source ↗
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Which tools do Claude, Codex and Cursor choose? We measured 17k runs to find outCline just recently fully upgraded their harness, see here: https://x.com/cline/status/2095897914493243512?s=20 Try if you have a better experience now! Cline just recently fully upgraded their harness, see here: https://x.com/cline/status/2095897914493243512?s=20 Try if you have a better experience now!view source ↗
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Ask HN: Why were OpenAI, Claude, and Grok simultaneously down?1177 B.C.: The Year Civilization Collapsed by Eric H. Cline is great and is exactly on this topic. 1177 B.C.: The Year Civilization Collapsed by Eric H. Cline is great and is exactly on this topic.view source ↗
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Muse Spark 1.3Cline experiment: https://x.com/cline/status/2085237843379519737 Muse code: https://developer.meta.com/ai/resources/blog/build-with-muse... > Co-trained with the harness. Muse Code was in the training loop from day one, so tool calls succeed and plans execute cleanly. Crucially, we trained across multiple harnesses, so… Cline experiment: https://x.com/cline/status/2085237843379519737 Muse code: https://developer.meta.com/ai/resources/blog/build-with-muse... > Co-trained with the harness. Muse Code was in the training loop from day one, so tool calls succeed and plans execute cleanly. Crucially, we trained across multiple harnesses, so while the model is at its best in Muse Code, it still generalizes to other coding agents you already use.view source ↗
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LongCat-2.0 is now free to try in clineview source ↗
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Ask HN: Who wants to be hired? (September 2026)I’ve been researching how LLMs generate code since summer 2023. My main public artifact is this repository: https://github.com/danvoronov/CodeWithLLM-Updates It’s a living research collection with 400+ commits covering practical experiments, usage patterns, step-by-step guides, model comparisons, AI coding tool evaluat… I’ve been researching how LLMs generate code since summer 2023. My main public artifact is this repository: https://github.com/danvoronov/CodeWithLLM-Updates It’s a living research collection with 400+ commits covering practical experiments, usage patterns, step-by-step guides, model comparisons, AI coding tool evaluations (Cursor, Aider, Cline, Windsurf, etc.). A large part of my work is *exploratory*: navigating large and messy information spaces, testing things hands-on, comparing different approaches, and identifying the small amount of signal that is actually useful. My strongest skill is broad technical *investigation*. I can map an entire problem space rather than focus on a single tool, model, or hypothesis: find the relevant projects, papers, tools, workflows, discussions, benchmarks, and practical examples; test and compare what matters; and organize the results into a clear picture of the field. The goal is not to arrive with a predetermined answer or recommend one particular tool. I can cover the *surrounding landscape* as thoroughly as possible and provide the evidence, comparisons, and structure. Your team can then decide which conclusions matter and what to do with them. I can deliver the results as a structured PDF or HTML research artifact, or discuss the findings in a call. Depending on the project, I can also combine both formats: prepare a written report with the relevant evidence and comparisons, then walk your team through it and answer questions live. I’m interested in projects where someone needs a broad, hands-on investigation of AI-assisted software development: understanding what exists, how different approaches compare, where they work, where they fail, and what is worth paying attention to. I don’t know the conventional job title for this niche. If your team needs someone who can cover a large and changing technical field, turn scattered information into a structured overview, and give you a solid basis for making decisions, I’d be interview source ↗
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My local model setup on an M4 Pro Mac MiniRecent performance data on my M1 Max 32GB MacBook using oMLX. I have been working on identifying suitable model and config for my use case and system. Using a refactor and suggest improvements prompt for a specific Django code block using VSCode Cline extension. --- Qwen3.8-27B-4bit, Prompt Processing (PP) 66.3 tok/s, … Recent performance data on my M1 Max 32GB MacBook using oMLX. I have been working on identifying suitable model and config for my use case and system. Using a refactor and suggest improvements prompt for a specific Django code block using VSCode Cline extension. --- Qwen3.8-27B-4bit, Prompt Processing (PP) 66.3 tok/s, Token Generation (TG) 11.8 tok/s Ornith-1.5-35B-A3B-MLX-4bit, PP 379.7, TG 45.8 Ornith-1.5-35B-A3B-MLX-4bit, PP 381.5, TG 46.4 Qwen3.6-35B-A3B-mxfp4, PP 389.6, TG 47.6 Qwen3.6-35B-A3B-OptiQ-4bit, PP 342.6, TG 44.4 --- Qwen3.8-27B-4bit generally runs out of output token before completing the task though excellent partial results. Ornith-1.5-35B-A3B-MLX-4bit seems to get in the loop often specially with tool calls. Qwen3.6-35B-A3B-mxfp4 seems to be optimal with speed and quality output. I am going to test Qwen3.6-35B-A3B-4bit soon with same code block just to check my intuition that any derivatives don't seem to perform better than the originals.view source ↗
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Anomalyco/OpenCode, Aider-AI/aider, and Cline ReviewTried Cline with a local Qwen2.5-Coder 14B model through llama.cpp. Same story. The model works perfectly when called directly, but the agent integration doesn't actually execute the tools. It generates things like: <tools> {"name": "read_files", ...} </tools> as plain text and then just sits there until I tell it to "… Tried Cline with a local Qwen2.5-Coder 14B model through llama.cpp. Same story. The model works perfectly when called directly, but the agent integration doesn't actually execute the tools. It generates things like: <tools> {"name": "read_files", ...} </tools> as plain text and then just sits there until I tell it to "do it" again. It repeats the exact same fake tool call. So instead of: Qwen → tool call → grep/find/read → result → Qwen I get: Qwen → pretend tool call → nothing happens → repeat.view source ↗
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Literary Fiction Has Lost the PlotFor the record, I haven't read either of the two books discussed here ("Switzy" by Emma Cline and "Ply" by Hernan Diaz). And the one book of literary fiction i did read this month (Nelio Biedermann's much-hyped "Lazar") did not fall into these traps and is wonderful. You can find the first page of that one in Google Pr… For the record, I haven't read either of the two books discussed here ("Switzy" by Emma Cline and "Ply" by Hernan Diaz). And the one book of literary fiction i did read this month (Nelio Biedermann's much-hyped "Lazar") did not fall into these traps and is wonderful. You can find the first page of that one in Google Preview if you're curious.view source ↗
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⚔ GLM-5.3-Flash Aims Straight at the Post-Hike DeepSeek Zhipu's GLM-5.3-Flash — revealed this week as the anonymous "Ox Alpha" — has been open-weighted and priced at roughly one-tenth of GLM-5.3. Much of the early discussion compares it to DeepSeek's V4 Flash, which recently raised prices. Zhihu contributor 起步十档, who … ⚔ GLM-5.3-Flash Aims Straight at the Post-Hike DeepSeek Zhipu's GLM-5.3-Flash — revealed this week as the anonymous "Ox Alpha" — has been open-weighted and priced at roughly one-tenth of GLM-5.3. Much of the early discussion compares it to DeepSeek's V4 Flash, which recently raised prices. Zhihu contributor 起步十档, who ran Ox Alpha inside real workflows before the reveal, gives a practitioner's verdict in one line: it is built to kill the post-hike DeepSeek. His case rests on three legs — performance, token efficiency, and an architecture change that makes the price possible. 1️⃣ It clears the bar for long-horizon work Official scores put Flash between Grok 4.6 and GLM-5.3, and clearly ahead of DeepSeek V4 Flash. In the author's own testing, its frontend ability roughly matches an early gray-test build of DeepSeek V4 Pro, while its backend is noticeably weaker than GLM-5.3 — but still usable on long-horizon tasks as long as the connection holds. His rule of thumb: any model past the Claude Opus 4.6 line is workflow-ready for long tasks. Beyond that, differences come down to reasoning style and accuracy, not viability. One caveat he flags: during the anonymous test the deployment was unstable, and some believe it served a mid-training checkpoint rather than the final model. 2️⃣ The real weapon: token efficiency Comparing peak API prices against the post-hike DeepSeek V4 Flash, the author notes cached input is actually 2x more expensive, while regular input and output sit at roughly 26% of DeepSeek's price. Since cached input is often the bulk of the bill, he wants real-world tests before calling a winner on price alone. But his own usage points the same direction. In one to two hours of real work — reading and writing files, running tests — Ox Alpha burned barely over 100K tokens. He estimates DeepSeek would need 250-300K for the same workload. His prediction: same tasks, run on both APIs, will come out cheaper on Flash — with clearly better performance. 3️⃣ His unview source ↗
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Ask HN: Are you still using AI code autocomplete?With all the recent progress in coding assistants, I've been wondering whether AI-powered autocomplete is still an important part of developers' workflows. I personally never got into the habit of using it very heavily. By the time I started having access to decent AI autocomplete tools, things like Cline and Augment w… With all the recent progress in coding assistants, I've been wondering whether AI-powered autocomplete is still an important part of developers' workflows. I personally never got into the habit of using it very heavily. By the time I started having access to decent AI autocomplete tools, things like Cline and Augment were already around, so I ended up relying more on assistants instead. That made me curious about how other people use it today. Do you still use Cursor Tab, Copilot, or something similar? If you also use coding assistants, do you find yourself using AI autocomplete less, or do the two complement each other?view source ↗
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T3rnel Browser – the most advanced cross browser web development tool ever builtT3raTech Solutions has launched the most advanced cross browser web development tool ever built. T3rnel Browser — a cross-platform web browser extension with 87 MCP tools for browser automation and web development. Lifetime free access does: • Full page screenshots & cropping (PNG & PDF export) • CSS Element Scanning &… T3raTech Solutions has launched the most advanced cross browser web development tool ever built. T3rnel Browser — a cross-platform web browser extension with 87 MCP tools for browser automation and web development. Lifetime free access does: • Full page screenshots & cropping (PNG & PDF export) • CSS Element Scanning & Export • Markdown (.md) file viewer • DOM compression for LLM context • LLM security firewall • Live shadow testing Model Control Protocol bridge for AI agent allows: • Total Browser Control (Fill forms, Click, Hover, Select, Type) • Upload & Download • Full tab control (Open, Close, Switch) • History Search • Visual Compare PayNow/PayPal Pro license integration grants: • Logged in page browsing (reuse existing sessions & credentials) • Playwright/Puppeteer code generator • Record & Replay automation • DOM time travel debugging • Encrypted identity vault for automatic website login Works standalone with Google #Chrome, #Brave, #Chromium and any #MCP compatible AI client (#Claude Desktop, #Windsurf, #Cursor, #Antigravity, #Codex, #Grok Build, #Cline, #KiloCode, #JCode). Optional #T3rnel daemon integration adds approvals, workflows, memory, and multi-agent orchestration. One-time license: $29.99. No subscriptions. Available at the Google Chrome Webstore: https://chromewebstore.google.com/detail/t3rnel-browser/egpc...view source ↗
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### Decision question Should an enterprise AI buyer routing developer-workflow and coding workloads (e.g., Cursor integrations) migrate primary traffic from GPT-5.5 or Claude Opus 4.8 to xAI's Grok 4.5 to optimize cost-per-token and execution speed? ### Dated conclusion Evidence from July 2026 shows that xAI’s Grok 4.… ### Decision question Should an enterprise AI buyer routing developer-workflow and coding workloads (e.g., Cursor integrations) migrate primary traffic from GPT-5.5 or Claude Opus 4.8 to xAI's Grok 4.5 to optimize cost-per-token and execution speed? ### Dated conclusion Evidence from July 2026 shows that xAI’s Grok 4.5—trained on trillions of tokens of Cursor data—outperforms GPT-5.5 (29% vs 22%) and Claude Opus 4.8 (29% vs 21%) on professional work tasks while delivering fast-model speeds of 80 tokens per second (TPS) at double the token efficiency. For specialized software engineering and developer tooling workloads, enterprises have empirical justification to substitute incumbent models, provided they account for its lower general intelligence ranking. ### Confidence High — Supported by official primary-source release telemetry (https://t.co/weowGvrpDL), targeted enterprise vertical analysis (AI Business), and comparative professional benchmark evaluations (ValueAdd VC) published in July 2026. ### Provenance block (required) - Telemetry authorization: Public web only - Fields covered: list prices, token pricing tiers, professional work benchmark scores, inference speed (TPS), context window rate rules, and model training datasets - Time window: January 2025 – August 18, 2026 - Coverage: Publicly announced xAI model specifications, third-party intermediary pricing via PromptLayer/OpenRouter, and published comparative benchmarks - Blind spots: Private provider routing volumes, true infrastructure margins, unannounced enterprise enterprise-agreement discounts, and full internal OpenRouter traffic distributions - Number labels: - $0.20 per million input tokens, $0.50 per million output tokens (Observed) - 128,000 context threshold doubling rule (Observed) - 29% vs 22% / 21% professional work task outperformance (Observed) - 80 TPS inference speed (Observed) - 100 trillion tokens aggregate study scale (Observed) ### Strongest evidence (top 3) 1. **Introview source ↗
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Qwen 3.8 27B is excellent, but it defaults to overthinking thingsOpenCode is decent. I'm unfamiliar with Cline, what does the Cline CLI do better than OpenCode? OpenCode is decent. I'm unfamiliar with Cline, what does the Cline CLI do better than OpenCode?view source ↗
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Qwen 3.8 27B is excellent, but it defaults to overthinking thingsYes but investors and users seem to react well to it. Opencode for example gets mentioned more often than Cline even though it’s arguably inferior, openclaw is another example. Just name your stuff openX to win.. Yes but investors and users seem to react well to it. Opencode for example gets mentioned more often than Cline even though it’s arguably inferior, openclaw is another example. Just name your stuff openX to win..view source ↗
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DeepSeek Harness developer previewThey do the same job. I can't say how well this performs; Cline works well early on in a session but I find I regularly need to start new tasks, past a certain point the context window gets cluttered and it starts trying to redo tasks it has already completed. Now, I'm sure that is partly my fault and not digging into … They do the same job. I can't say how well this performs; Cline works well early on in a session but I find I regularly need to start new tasks, past a certain point the context window gets cluttered and it starts trying to redo tasks it has already completed. Now, I'm sure that is partly my fault and not digging into Cline's more advanced configuration options or whatever, but it's not too obvious what to adjust. It sounds like DSH is promising better task management and easier configuration; I guess I'll find out when I try it with an existing project later today.view source ↗
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DeepSeek Harness developer previewAs someone who's just getting into the self-hosted game on a M2 Pro MBP with muse-glimmer 30b, what's the difference between something like this and Cline? As someone who's just getting into the self-hosted game on a M2 Pro MBP with muse-glimmer 30b, what's the difference between something like this and Cline?view source ↗
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Grok 4.6 scores 61 on the Artificial Analysis Intelligence IndexFor me it helps that back when xAI was the new hotness, after reading HN comments constantly advertising the free Grok credits they were giving out each month for developers with data sharing enabled, I eventually set aside my personal distaste figuring I might as well take advantage for Cline/Roo Code. I opened a deve… For me it helps that back when xAI was the new hotness, after reading HN comments constantly advertising the free Grok credits they were giving out each month for developers with data sharing enabled, I eventually set aside my personal distaste figuring I might as well take advantage for Cline/Roo Code. I opened a developer API account, loaded 5 dollars and got the free $100s of credits for the month. Like two weeks later, xAI announced they were shutting down the subsidized credits entirely lol. Didn’t even get a full month out of it, and closed my account entirely since I sure wasn’t ever going to put another penny of my own money in. So my personal lesson was to ignore any hype about the latest “crazy value / unbeatable / free / subsidized X, Y or Z” from anything xAI/Elon adjacent in the future. These days I get more than enough personal usage from Codex + OpenCode Go to put up with yet another xAI/Cursor offer treadmill, especially if it involves installing new tooling to get it.view source ↗
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AI is removing the middle class of software engineering?> With AI, "bad" engineers can now amplify their "bad" engineering x10 across the organization. It's even worse than that. We've got a CEO who has suddenly learned how to vibe code and the stuff he's coming up with is... kind of horrendous. He's coming up with new "products" and proclaiming them the next big thing for … > With AI, "bad" engineers can now amplify their "bad" engineering x10 across the organization. It's even worse than that. We've got a CEO who has suddenly learned how to vibe code and the stuff he's coming up with is... kind of horrendous. He's coming up with new "products" and proclaiming them the next big thing for us to work on and we're kind of over here scratching our heads asking who would want this? Who would pay for it? I mean, he was able to put together a kind of a cool web app (with 0 web app knowledge) that's supposedly going to let users design thingys with AI, but it just seems like he re-invented a harness/IDE. I suggested that maybe what he wants is a VS Code plugin like Cline or KiloCode... but he hadn't used VS Code.view source ↗
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Mars Bar from 1991 found – and it's 20g bigger than today'sThe mistake you are making is that you are conflating technical definitions used for regulating product labeling with the general understanding and preferences of consumers in how they relate product categories together. Ideally, these would be closely aligned, but given that the former is a set of mutually exclusive c… The mistake you are making is that you are conflating technical definitions used for regulating product labeling with the general understanding and preferences of consumers in how they relate product categories together. Ideally, these would be closely aligned, but given that the former is a set of mutually exclusive category definitions bounded by precise quantitative variables, and the latter are overlapping clines that people make varied subjective judgments about, it's impossible to have perfect alignment, and edge cases like the ones you're discussing here will naturally proliferate.view source ↗
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Show HN: 100% native Swift harness (NOT Electron)hi everybody, I’ve been working on this harness that is all native Swift for macOS. It’s fully featured with every feature i could find in cline, codex, and claude code. There is all swift command line too It’s taking me a long, long time, a few months to build this, and it’s fully open source Apache 2 licensed. Hoping… hi everybody, I’ve been working on this harness that is all native Swift for macOS. It’s fully featured with every feature i could find in cline, codex, and claude code. There is all swift command line too It’s taking me a long, long time, a few months to build this, and it’s fully open source Apache 2 licensed. Hoping people fork this and make many branches I’m looking for people who want to work on something that has much lower memory usage and much more potential to be just more efficient. Every other single harness has is written in using electron, so this harness is really unique in this way. It’s connected to trusted router so that it has end-to-end encryption confidential mode as well as access to hundreds of models, any model in the world. It works great with Deepseek. it’s great for swift development ios development. and for people who love Linux, I also made a compatibility layer that lets you compile SwiftUI into native Linux so that you either can new or QT actually so that you can just compile all the code directly and make it run on Linuxview source ↗
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AFK – Command center for teams running coding agentsHi HN, I've been building AFK — a command center for engineering teams running coding agents. THE PROBLEM Every coding agent tool I've used (Claude Code, Cursor, Aider, Cline) assumes the person running the agent is the only human in the loop. For real teams, that is never true. Agent work disappears into terminal tabs… Hi HN, I've been building AFK — a command center for engineering teams running coding agents. THE PROBLEM Every coding agent tool I've used (Claude Code, Cursor, Aider, Cline) assumes the person running the agent is the only human in the loop. For real teams, that is never true. Agent work disappears into terminal tabs. Risky mutations happen without review. There's no shared visibility, no team-owned control point. WHAT AFK DOES A persistent daemon runs on your machine or your company server. Engineers connect via browser. - Sessions survive reconnect, terminal closure, machine sleep — intact history, worktree state, and model context - Three permission modes (auto, ask before writes, ask before every tool call) plus plan mode - Teams: orgs with roles, shared dashboards, session handoff with inbox notifications, shared-session participants - BYOK model routing: Anthropic, OpenAI, Gemini, Mistral, Groq, xAI, DeepSeek, local, Azure, OpenRouter, subscriptions — your keys, their rates, no markup - Docker execution, sub-agents, MCP, skills, plugins, hooks, webhook and scheduled automations - Agent mesh: agents spawn children, message each other directly, coordinate across sessions — daemon-local for same-machine, hub-relayed cross-daemon with same-account enforcement - Enterprise: shared daemon on company infrastructure, dedicated control plane for stricter residency requirements ARCHITECTURE The daemon dials out to the hub. No inbound firewall rules needed. A shared daemon on a company server keeps repository checkouts and command execution inside the corporate network. Agents run as native OS processes via the daemon's WebSocket mesh — not through the cloud hub. Java 25, GraalVM native binary — virtual threads without the JVM startup cost. Agents are lightweight OS processes orchestrated by the daemon. PRICING Free (1 daemon, 2 active sessions, 14-day history) Pro — €10/mo Max — €20/mo (personal automations and inbound webhooks) Team — €20/seat/mo (2-10 seats, sharedview source ↗
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DeepSeek V4 Flash 0731> My initial thought was to sign up for ChatGPT, but I had $20 in OpenRouter so I've been trying out DeepSeek V4 Pro with Pi for the last few days and I gotta say, it's good enough for my use case If you prefer subscriptions, OpenCode Go ($10/mo), Cline Pass ($10/mo), Atlas Code ($20/mo), and CommandCode ($1/mo) serve … > My initial thought was to sign up for ChatGPT, but I had $20 in OpenRouter so I've been trying out DeepSeek V4 Pro with Pi for the last few days and I gotta say, it's good enough for my use case If you prefer subscriptions, OpenCode Go ($10/mo), Cline Pass ($10/mo), Atlas Code ($20/mo), and CommandCode ($1/mo) serve some of the best open weights with generous limits. OpenCode Go currently offers $120 for $10 on DeepSeek Flash v4 (if you're okay with data retention).view source ↗