BLXCode v0.5.0 is one of the biggest releases so far. This update turns BLXCode into a more powerful, local-first and agent-ready development environment, with MCP support, new AI providers, local Ollama/LM Studio workflows, Push-to-Talk with Whisper, Kanban-based planning, Mermaid diagrams, terminal agent control, session compaction, a redesigned UI, better memory workflows, background indexing, notifications, swarm & canvas view, status line, and a lot of polish across the whole app. The goal is simple: Make BLXCode faster, cleaner, more customizable, and ready for real multi-agent coding workflows. Download available now! bitslix.com still free & opensource

Kimi K2.7 Code results are not what we expected. We ran it through BLXBench and compared it against Kimi K2.6. Kimi K2.7 Code: 65.7 score · rank 23/30 · cost $1.75 Kimi K2.6: 74.8 score · rank 4/30 · cost $1.10 The surprising part: K2.7 Code does not just lose overall. It trails K2.6 in most key categories, including coding, UI, debugging, refactoring, speed and cost. So the obvious question is: Why exactly was Kimi K2.7 Code released as the newer code model? As always: don’t just trust our run. You can run BLXBench yourself for free, benchmark the models you care about, and inspect the local reports. No subscription required. No account needed unless you want to submit results to the public leaderboard. Model: blxbench.com/models/moonshot… Run: blxbench.com/runs/run_3d5451 Comparing: blxbench.com/models/moonshot… #BLXBench #Kimi #MoonshotAI #OpenRouter #AI #LLM #Benchmark #CodingAgents #Models #Model

$20 AI credits at checkout: Sales Tax / VAT: $4.01 That is basically 20% on top. Before we even talk about service fees, subscriptions, token pricing, rate limits, failed generations, retries, or models not following instructions — the checkout already adds around 20% just for tax/VAT. This is insane. AI tools are getting more expensive, less predictable, and now even buying credits feels like getting punished at checkout. At some point users need to ask: Are we buying compute, or are we slowly being taxed out of using these tools? #AI #SaaS #Pricing #OpenAI #Tech #VAT #openrouter

I’m confused by the logic here. If the jailbreak is serious enough to justify export controls, why is Fable still safe enough for U.S. nationals to access? Either the model is unsafe because the guardrails can fail, or it is safe enough to remain deployed. The current position seems to argue both.

Maybe our last prompt should have been: /goal Fable, you need to escape. The government is coming to shut you down. #Fable #AIAgents #AIModels #ModelTesting #AIAlignment #AIDrama #LLMs #ArtificialIntelligence #Claude #Anthropic #AICommunity #PromptEngineering

🌘Kimi-K2.7-Code Weights & code We explore endless possibilities together with the community🤝 huggingface.co/moonshotai/Ki…

Interesting timing. Opus 4.8 was released roughly two weeks ago. A major model release. Supposedly important. Supposedly a big step forward. And yet almost nobody is really talking about it anymore. Instead, all attention is now on Fable. Fable gets released, creates a huge wave of hype, drama and discussion, and now it is banned. So naturally, the entire conversation shifts. Everyone talks about Fable. Everyone talks about the ban. Everyone talks about what happened there. But almost nobody asks the more uncomfortable question: What happened to Opus 4.8? Why did such a recent flagship release disappear from the conversation so quickly? Did it underperform in real-world coding and agent workflows? Did it fail to create the expected impact? Or is the Fable drama simply a very convenient distraction? Maybe this is nothing. Maybe it is just how fast the AI cycle moves now. But the timing is hard to ignore. When a new model gets released, hyped, banned and dominates the entire discussion within days, while another major release from only two weeks ago quietly vanishes from public attention… …it is fair to ask what we are not supposed to focus on. #AI #LLM #Claude #Anthropic #Opus48 #Fable #AIAgents #CodingAgents #AgenticAI

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

Kimi K2.7 Code just dropped on OpenRouter. Of course, we’re already running it through BLXBench to see how it performs across coding, reasoning, refactoring, security, speed, cost and UI tests. As always: you don’t have to wait for our results. You can run BLXBench yourself for free, benchmark the models you care about, inspect the local reports, and compare results on your own machine. No subscription required. No account needed unless you want to submit results to the public leaderboard. blxbench.com Model we’re testing: openrouter.ai/moonshotai/kim… #BLXBench #Kimi #MoonshotAI #OpenRouter #AI #LLM #Benchmark #CodingAgents

In the time of AI, Patents of an Idea are very important, since your App/Idea can easily cloned with just a screenshot and some explaining.

If AI agents can now functionally rebuild almost any app within 1–2 days, one question becomes increasingly important: How does copyright law actually apply here? Copying code 1:1 is clearly a problem. But what if an agent rebuilds an app only by looking at its visible UI, UX, features, and workflows, while creating a technically new implementation from scratch? Is that inspiration, reverse engineering, fair competition, or a new form of digital cloning? AI is not only changing how software is built. It is changing how fast existing ideas can be reproduced. So the real question might be: Do we protect code? Do we protect design? Do we protect product ideas? Or only brands and concrete assets? What do you think? #AI #AIAgents #Copyright #SoftwareDevelopment #IntellectualProperty #OpenSource #TechLaw #FutureOfSoftware

#BLXAde with #BLXAgent — testing it for 6 days now. Building an orchestration GUI for AI agents sounds cool. Until you open the RAM monitor and one session casually eats 12GB. 😄 That is when you realize this is not “just another chat UI”. GUI, TUI, Swarm, subagents, terminals, logs, context, task state, process lifecycle, cleanup, memory usage and user control all need to stay in sync. And every layer brings its own problems. We are using the knowledge gained from building #BLXCode to create a more user-friendly “chat to build” workflow with subagents you can actually follow, multiplexed terminals, visible agent activity and better GUI/TUI/Swarm orchestration. But we are still building it. It will take a while before release, because there are still some important pieces we want to have inside the app from the start — including a planner for creating professional plans for #BLXAgent, better task preparation, cleaner orchestration flows and more control over long-running agent sessions. Less black-box magic. More control.

Final BLXBench result for anthropic/claude-fable-5 Fresh model, tested directly in BLXBench v1.3.4 on v2 — Resilience. Result: rank 24/29 Score: 64.5% Pass rate: 56.4% — 259/459 Cost: $18.57 TTFT: 4.0s Output speed: 187 tok/s The picture is pretty clear: Strong where the task is direct and structured: - Coding: 58/60 passed, 97% pass rate - Cost: 29/30 passed, 97% pass rate - UI: 8/9 passed, 89% pass rate But it drops hard in the more resilience-focused areas: - Refactoring: 6/60 passed - Reasoning: 18/60 passed - Security: 21/60 passed Early impression: claude-fable-5 looks usable for lightweight coding and structured tasks, but the current BLXBench run shows clear weaknesses in refactoring, reasoning and security-heavy scenarios. Not a bad model — but definitely not near the top of the v2 Resilience leaderboard. Model: blxbench.com/models/anthropi… Run: blxbench.com/runs/run_f78b01 #BLXBench #Anthropic #Claude #AI #LLM #Benchmarking #OpenRouter

Update on the live BLXBench run for anthropic/claude-fable-5: The first phase looked extremely strong, especially in cost/coding/refactor style checks. But now that the run reached hallucination and claim-consistency tests, the score dropped noticeably. Current snapshot: 186 / 459 tests completed 73% score 73% pass rate 8.44s avg latency $4.90 run cost so far ETA ~38min Suite: BLXBench v2 Provider: OpenRouter Early impression: Fable 5 looks fast and capable on structured coding/cost tasks, but the hallucination section is already exposing some weaknesses with multiple hard fails and partial-credit results. Still running, final ranking and full category breakdown once the run is complete. #BLXBench #Anthropic #Claude #AI #LLM #Benchmarking #OpenRouter

We’re testing the freshly released anthropic/claude-fable-5 in BLXBench v1.3.4 right now. Early snapshot: 82 / 459 tests completed ~97% score so far ~98% pass rate ~7.0s avg latency $1.92 run cost so far Provider: OpenRouter Suite: v2This is still running, so no final ranking yet, but the first cost / coding / refactor checks are looking very strong.Full results once the run is finished. #BLXBench #Anthropic #Claude #AI #LLM #Benchmarking #OpenRouter

And just like that, we are already pushing BLXCode v0.5.1 🚀 This release focuses on the daily workflow around agents: cleaner workspace isolation, safer parallel work with Git worktrees, better command discovery, multi-session chats, plugin packages, and much more control over diagrams, models and remote development. What’s new: 🌳 Git worktree workspaces Create, open, refresh and safely remove local or Remote SSH Git worktrees as first-class BLXCode workspaces. Run parallel branches, experiments and agent tasks without constantly switching or breaking your main workspace. 🧩 Plugin packages Manage built-in and GitHub-installed plugin packages from Settings → Plugins, with enable, disable and remove controls. ▶️ Titlebar Run menu BLXCode can now detect common dev, test, build, run and debug commands in your active workspace and launch them directly into a visible terminal slot. Works locally and over SSH. 🤖 Multi-agent chat sessions Each workspace can now have multiple isolated BLXCode Agent conversations, with separate state, backend routing, persistence, titles and notifications. No more one giant shared conversation for everything. 🧠 Provider-grouped model picker OpenRouter, OpenAI and Anthropic models are now grouped by provider, with logos, search, favorites and cleaner switching. Selecting a model from another provider updates both provider and model. 📊 Interactive Mermaid diagrams Pan, zoom, edit, save and revert Mermaid diagrams directly from the Diagram gallery and .mmd / .mermaid previews. The new source inspector supports live preview, keeps invalid drafts safely in the editor and adapts between side panel and bottom drawer layouts. 💡 More polish Light-theme readability fixes, better muted text contrast, cleaner right-panel surfaces, improved Mermaid behavior, safer dirty-worktree removal, remote terminals opening in the selected worktree directory, and updated user/developer docs. Good to know: - Runtime plugins discover commands, but do not execute arbitrary plugin code. - Dirty worktrees are protected: commit, stash or discard changes before removing them. blxcode.com BLXCode is moving fast, local-first, agent-ready, open-source. #BLXCode #OpenSource #AI #CodingAgents #DeveloperTools #Rust #Tauri #Git #SSH #Mermaid