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rotecodefraktion.bsky.social

@rotecodefraktion.bsky.social
34 followers 38 following 94 posts
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 19h
f451 is out: a self-hosted #wiki for traceable docs. Pages are versioned Markdown in Git, every change is reviewed before it goes live, no vendor lock-in. AI agents contribute via #MCP. Live demo included. www.rotecodefraktion.de/en/blog/f451...
rotecodefraktion.de
f451: Documents Without Handcuffs
f451 combines the comfort of a wiki with Git as the single source of truth. Every page is a Markdown file on Forgejo or GitHub, every change goes through draft and review, and permissions come from th...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 26/09/2026
Jev decides 53 of 100 tickets on its own, in under a second. The language model only gets the rest. Response time −39%, with a new prompt pager false alarms 48 → 16. New in the n8n series: www.rotecodefraktion.de/en/blog/n8n-... #Jev #n8n #ai #llm
rotecodefraktion.de
Jev as a Pre-Filter in the Ticket Workflow: Fewer Model Calls, Fewer False Alarms
Jev pre-classifies tickets in the n8n workflow, and the local language model only decides when Jev is unsure. Getting there took labels of my own, a corrected priority matrix and a new prompt. Plus a ...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 25/09/2026
Picking a label without paying for a text model: on 100 Banking77 queries, Jev from TypeSafe matched Claude Haiku 4.5, almost three times as fast, at a twelfth of the cost. Where confident, it was right 98% of the time. www.rotecodefraktion.de/en/blog/jev-... #LLM #AI #JEV
rotecodefraktion.de
Jev Put to the Test: A Model That Decides Instead of Writing
Jev from TypeSafe returns typed decisions with probabilities instead of text. I measured it on 200 real banking queries, 100 of them in direct comparison with four Claude models from Haiku 4.5 to Fabl...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 24/09/2026
Opus 5.5 needs less prompt and more configuration. Set effort explicitly, delete thinking instructions, keep long agent runs going with a checklist. With hands-on tests in Claude Code. www.rotecodefraktion.de/en/blog/opus... #ClaudeOpus #ai #opus
rotecodefraktion.de
Prompting Claude Opus 5.5: Effort, Checklists, and Design Defaults
Opus 5.5 always thinks, starts at effort medium, and has new quirks with long tasks, design, and safety filters. Anthropic's prompting guide, checked against the documentation and supplemented with my...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 24/09/2026
Getting started with Claude Code www.rotecodefraktion.de/en/blog/erst... Step by step: from an empty folder to a tested Python script in one hour, with a plan, tests, and CLAUDE.md. Easy to follow, with all the real output. #ClaudeCode #agenticcoding #ai
rotecodefraktion.de
The First Hour with Claude Code: From an Empty Folder to a Tested Script
An introduction to agentic coding for beginners. We walk through the first hour with Claude Code on a small Python project, from the plan and the tests to CLAUDE.md, with real output, real costs, and ...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 23/09/2026
#Opus 5.5 delivers its first token after 5.5 instead of 14.2 s, at 47% lower cost on its default level, both models 30 out of 30. Most of the savings come from the model, not the price. At the same level, it thinks 48% less. #anthropic #claude www.rotecodefraktion.de/en/blog/clau...
rotecodefraktion.de
Claude Opus 5.5 in the Test Lab: Half the Cost, Because It Thinks Less
Anthropic promises that Opus 5.5 costs about 40 percent less than Opus 5. I ran both models at their default settings on ten verifiable tasks and measured tokens, time, and cost per solved task.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 13/08/2026
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 16/07/2026
Das @zdfde.bsky.social hat kein Problem damit Neunazis groß in Szene zu setzen, aber wenn zum Widerstand gegen die Faschisten musikalisch aufgerufen wird dann ist Zensur kein Problem. Sagt alles über die Intendanz und Geschäftsleitung des ZDF. #nazis #steigbügelhalter
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 04/07/2026
#Ornith 1.0, a coding model that learns its own agent scaffold. Tested locally on the M3 Max, GGUF against #MLX, with a surprising stumbling block in the packaging. → www.rotecodefraktion.de/en/blog/orni...
rotecodefraktion.de
Ornith 1.0: When the Model Writes Its Own Scaffold
DeepReinforce trains a coding model that learns its own agent harness. I tested the 9B and 35B locally on an M3 Max. The idea is strong, the benchmarks are self-reported, and the biggest stumbling blo...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 27/06/2026
A bigger context window isn't a memory. New piece on LLM memory for AI agents: CoALA's four functions, the real cost of RAG→GraphRAG, and memory poisoning (the failure mode nobody names). Plus what n8n does natively. www.rotecodefraktion.de/en/blog/n8n-... #n8n #LLM
rotecodefraktion.de
What an Agent Remembers: LLM Memory between Context Window and Knowledge Graph
Agent memory is an architecture problem, not a toggle. An ordered overview: the cognitive memory functions, why the context window is not memory, RAG through GraphRAG with their real costs, and where ...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 22/06/2026
You know that, one is tired but still wants to finish the last shot. To cheer up, I ask the Beta Siri to make the tip of my nose a little sharper. I don’t know...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 21/06/2026
Why I don‘t trust #ChatGPT & #Microslop for AI Agents? Quite simple, they are forcing their customers into loops like „Do you want this and that? Give me a go…“ and at the end of the day, one spends tokens for bullshitting. And this is not a problem of the LLM; it’s broken by design. SGFY #AI
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 19/06/2026
Local Python showdown on an M3 Max ( #MLX, real execution): #Gemma 4 12B vs a community coder vs Qwen3-Coder-30B. On standard tasks all tie; #Qwen wins on speed (~92 tok/s — MoE, ~3B active). The arithmetic parser beat all three www.rotecodefraktion.de/en/blog/gemm...
rotecodefraktion.de
Local Python on the Mac: Gemma 4, Its Coding Finetune, and a Current Specialist
Gemma 4 12B is celebrated as the most complete local model. For Python I ran three variants against each other on an M3 Max, with real code execution, including a parser that defeats all three.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 19/06/2026
Finale of the n8n series: n8n authenticates to SAP BTP via client-credentials flow against xsuaa, then calls a CAP service, CDS, OData, xsuaa-secured, like a real S/4 target. And one service-key field must never hit the repo. www.rotecodefraktion.de/en/blog/n8n-... #n8n #SAP #BTP #OAuth #AI
rotecodefraktion.de
n8n Authenticates Against SAP BTP — OAuth Against a CAP Service
The series finale: n8n binds to its own service on SAP BTP with a real OAuth flow. Client Credentials against the xsuaa token endpoint, a CAP service as a SAP-native stand-in, the n8n OAuth2 credentia...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 18/06/2026
Multi-Token Prediction for MLX, #MTPLX tested on the M3 Max. 2.24× promised, +40% measured on my M3 Max (same quality). www.rotecodefraktion.de/en/blog/mlx-... #MLX #AppleSilicon #AI
rotecodefraktion.de
Multi-Token Prediction for MLX: MTPLX Tested on the M3 Max
MTPLX promises noticeably faster local LLMs on the Mac via Qwen 3.6's built-in MTP heads. Measured on an M3 Max, with real numbers instead of marketing claims.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 17/06/2026
#QuEra 's counter-bet to Microsoft's Majorana chip: 256+ logical qubits by 2028 on AWS Braket, w/o exotic physics, just ordinary atoms & error correction. qLDPC: ~2 physical qubits per logical one, not thousands. #QuantumComputing www.rotecodefraktion.de/en/blog/quera-libra-quantencomputer-2028/
rotecodefraktion.de
QuEra Libra: The Counter-Bet to Microsoft's Quantum Chip
QuEra wants to ship a fault-tolerant quantum computer with more than 256 logical qubits in 2028. The lever is not exotic physics but error correction with unusually little overhead. An assessment with...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 16/06/2026
Microsoft's quantum chip computes with a particle that might not exist. #Majorana 2's long parity lifetime proves neither a working qubit nor that Majoranas are real — a trivial Andreev state fits too. Microslop again? #science #quantumchip www.rotecodefraktion.de/en/blog/majo...
rotecodefraktion.de
Majorana 2: Microsoft's Quantum Bet on an Unproven Particle
Microsoft celebrates Majorana 2 as a 1,000 times more stable quantum chip. Its foundation is Majorana quasiparticles, whose existence physics has not settled to this day. An assessment with technical ...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 16/06/2026
Has anyone applied to @anthropic.com on behalf of Europe yet? No? Then I did. Freedom, rule of law, top talent that won't get deported tomorrow — and militaries that respect your model's red lines. www.linkedin.com/pulse/applic... #claude #fable5 #mythos5
linkedin.com
Application for Europe
From: Europe (represented by Germany, Department of "We've Got an Idea, Actually" and on the ground by me David Krcek ) To: Anthropic, San Francisco Re: Unsolicited application for the role of locatio...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 15/06/2026
Article 11 of the series "Getting Started with n8n": n8n in Queue Mode — Main, Worker, Redis and Python. Main accepts and enqueues, workers execute. When it is worth it, how workers scale, and why queue mode is not retry. www.rotecodefraktion.de/en/blog/n8n-... #n8n #QueueMode #Redis #Python
rotecodefraktion.de
n8n in Queue Mode — Main, Worker and Redis
Operation goes production-ready. This article moves the single-process instance to queue mode: main accepts webhooks and enqueues executions in Redis, workers run them. With worker scaling, queue metr...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 15/06/2026
The same CSS function, two colors — depending on dark mode. Sass resolves at build time, native @function at render time. That's the new part, not the catch-up. #CSS #ModernCSS #Frontend #WebDev #WebDevelopment With live demos: www.rotecodefraktion.de/en/blog/css-...
rotecodefraktion.de
CSS Gets Real Functions: The @function Rule
With @function you define your own CSS functions. The real novelty is not that CSS rebuilds Sass, but that a CSS function decides in the browser instead of at build time.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 14/06/2026
Addendum 06/14/26: This is turning into a business thriller with the Trump regime implicated. AWS — Anthropic's biggest investor AND infrastructure provider — flagged the models to David Sacks, ex-AI czar and #Anthropic critic. www.rotecodefraktion.de/en/blog/us-r...
rotecodefraktion.de
Three Days at the Frontier: The Trump Regime Pulls Fable 5 and Mythos 5
Three days after launch, an export-control directive forces Anthropic to disable Fable 5 and Mythos 5 for all customers. What happened, why, and what it means.
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Reposted by @rotecodefraktion.bsky.social
FloxoLab @floxolab.com · 14/06/2026
Cheapest reliability upgrade for any n8n setup: a two node error workflow that pings you the second something breaks. Telegram, Slack, email, whatever. Built it faster than I wrote this. Setup: floxolab.com/blog/n8n-err...
floxolab.com
Protect n8n Workflows with Chat Error Alerts | FloxoLab
A simple 2-node n8n Error Workflow can alert you in Telegram, Slack, Google Chat, email, or another channel when business automations fail silently.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 14/06/2026
Container machine, Apple's quiet attack on #Docker Desktop. A dedicated micro-VM per container instead of Docker's shared VM. The architecture, the memory behavior under load, and why Apple is really going after Docker Desktop. #AppleSilicon #macOS #WWDC26 www.rotecodefraktion.de/en/blog/appl...
rotecodefraktion.de
Container machine: Apple's Quiet Shot at Docker Desktop
With the Containerization architecture and the new Container machine, Apple has spent two years building a native Docker alternative for the Mac. A technical analysis of who is really under attack.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 13/06/2026
ChatGPT sounds thoughtful. Claude sounds empathetic. And yet there's no one home. Why confusing a language model with consciousness isn't a misunderstanding but a category mistake with consequences. www.rotecodefraktion.de/en/blog/llm-... #AI #LLM #Consciousness #AIEthics
rotecodefraktion.de
No Ghost in the Machine: On mistaking language models for minds
ChatGPT sounds thoughtful. Claude sounds empathetic. And yet nobody is home. A mechanistic, philosophical and societal look at the difference between language models and consciousness.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 13/06/2026
One call, and the model's gone. Three days after launch, the #Trump regime forced #Anthropic to kill #Fable 5 and #Mythos 5 — an export-control directive aimed at "foreign nationals." No court, no reason, no evidence. www.rotecodefraktion.de/en/blog/us-r...
rotecodefraktion.de
Three Days at the Frontier: The Trump Regime Pulls Fable 5 and Mythos 5
Three days after launch, an export-control directive forces Anthropic to disable Fable 5 and Mythos 5 for all customers. What happened, why, and what it means.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 13/06/2026
#n8n meets #SAP: Article 10 builds the bridge over OData and HTTP. A support pipeline enriches its tickets with master data from an SAP backend. The catch: SAP behaves differently from modern APIs — and when it fails, the key info hides where most give up. www.rotecodefraktion.de/en/blog/n8n-... #ai
rotecodefraktion.de
n8n Meets SAP — the Bridge over OData and HTTP
The pipeline now enriches its tickets with master data from a SAP backend. This article shows the OData binding over HTTP, SAP's own error format, graceful degradation on an unknown customer, and wher...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 12/06/2026
Local AI isn't automatically sovereign AI. apfel's coding agent runs on your Mac, no key. But the model is borrowed, on ground Apple can shift anytime. The agent isn't: built on the OpenAI protocol, the backend swaps out. www.rotecodefraktion.de/en/blog/apfe... #LocalAI #swift #ai
rotecodefraktion.de
Sovereignty on borrowed ground
The local agent runs without a key and without the cloud. But what does that independence rest on? Two releases from the same week, a cloud handoff from Anthropic and Apple's MLX stack, bring the ques...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 11/06/2026
Tools the agent doesn't write: MCP — Article 10 of the series "A Local Coding Agent with apfel". #apfel is the MCP client itself. What the agent builds instead: a small server of its own. #MCP #AppleSilicon #LocalLLM #Swift #AgenticCoding #AI www.rotecodefraktion.de/en/blog/apfe...
rotecodefraktion.de
Tools the agent doesn't write: MCP
MCP moves writing tools out of the agent into separate servers. We build a small MCP server, attach it to apfel, and measure what MCP solves and what it doesn't. Article 10 of the series "A Local Codi...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 10/06/2026
Two Models, One Entry Point, Round-Robin and Failover redundancy over Local AI Backends. Article 9 of the series "Getting Started with n8n". → www.rotecodefraktion.de/en/blog/n8n-... #n8n #AI #Failover #SAP #MLX #LLM
rotecodefraktion.de
Two Models, One Entry Point — Round-Robin and Failover over Local AI Backends
A single AI backend degrades to the rule-based emergency exit on failure. This article builds real redundancy from two local models: round-robin in normal operation, automatic failover on a single out...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 10/06/2026
The interactive terminal session, Article 9 of "A Local Coding Agent with apfel" From a one-shot command to a REPL. How a strict split of render logic and I/O makes a terminal interface testable, with no terminal at all www.rotecodefraktion.de/en/blog/apfe... #LocalAI #CodingAgent #Swift #apfel #llm
rotecodefraktion.de
The interactive terminal session
The one-shot command becomes an interactive REPL session. The key to testability is the strict separation of render logic and terminal I/O. Article 9 of the series "A Local Coding Agent with apfel".
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 10/06/2026
#Anthropic makes the #Mythos class public, as Claude #Fable 5. A critical look at the benchmark records, the safeguard fallback to Opus 4.8, the June 23 pricing maneuver look like drug dealing, and the 30-day data retention. #ai #llm → www.rotecodefraktion.de/en/blog/clau...
rotecodefraktion.de
Claude Fable 5: Anthropic's Mythos Class Goes Public, With Caveats
Two months after warning that Mythos was too dangerous to release, Anthropic makes the Mythos class public. A look at Claude Fable 5 and Mythos 5 between benchmark records, pricing tactics, and 30-day...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 10/06/2026
#WWDC26 Platforms State of the Union at a glance. Foundation Models opens up to server models and goes open source, #CoreAI brings your own models on-device, and #Xcode 27 turns the coding agent into an actor that plans, builds, and tests. #ai #agenticcoding www.rotecodefraktion.de/en/blog/wwdc...
rotecodefraktion.de
WWDC26 for Developers: Foundation Models, Core AI, and an Agentic Xcode
An overview of the WWDC26 Platforms State of the Union: the Foundation Models framework opens up to server models and goes open source, the new Core AI brings your own models on-device, and Xcode 27 p...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 09/06/2026
Four Macs as a cluster, distributed inference and training with #MLX. How #RDMA over Thunderbolt, JACCL, and MLX run a trillion-parameter model locally across four M3 Ultras, and why that hardware is nearly impossible to get in 2026. → www.rotecodefraktion.de/en/blog/mlx-... #Apple #LocalAI #WWDC
rotecodefraktion.de
Four Macs as a Cluster: Distributed Inference and Training with MLX
At WWDC26, Apple shows how MLX distributes large language models across multiple Macs. RDMA over Thunderbolt 5, the JACCL library, and a cluster of four M3 Ultras running a trillion-parameter model lo...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 09/06/2026
Apple's on-device AI is fast & local but hits a ceiling on reasoning. Anthropic's new #Swift package hands off to Claude there @Generable typed output as the seam. Not #Claude in an app; the handoff becoming a pattern. #wwdc www.rotecodefraktion.de/en/blog/clau...
rotecodefraktion.de
rotecodefraktion
AI, Apple Silicon, Coding-Experimente, SwiftUI und Haltung.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 09/06/2026
One Entry Point, Two Classifiers, merging the AI Pipeline into the Live Path. Article 8 of the series "Getting Started with n8n". #n8n #AI #Ollama #llm www.rotecodefraktion.de/en/blog/n8n-...
rotecodefraktion.de
One Entry Point, Two Classifiers — Merging the AI Pipeline into the Live Path
Until now two separate paths ran side by side: the rule-based ingest and the AI classification. This article merges them into one pipeline, makes classification a swappable stage, and positions the ru...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 09/06/2026
Editing that works Article 7 of the series “A Local Coding Agent with apfel”. Why free tool calling fails at editing, and how constrained output takes the small model from 0/9 to reliable edits. → www.rotecodefraktion.de/en/blog/apfe... #LocalAI #CodingAgent #Swift #apfel
rotecodefraktion.de
Editing that works: constrained output instead of tool guessing
The naive file edit fails on the small model. We build the agent around that weakness, with constrained output and a two-stage edit workflow, and measure how much can be recovered. Article 7 of the se...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 09/06/2026
The local coding agent put to the eval — Article 6 of "A Local Coding Agent with apfel". 15 tasks, checked deterministically, no self-verdict from the model. Where it holds, where it breaks, and what it claims about itself. www.rotecodefraktion.de/en/blog/apfe... #LocalAI #Coding #swift #apfel #llm
rotecodefraktion.de
The local coding agent put to the eval
A reproducible eval of 15 tasks across five categories measures where the local Foundation Model carries as a coding agent and where it breaks. With a cloud sample and a separate measurement of what t...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 08/06/2026
Error Handling and #Observability in #n8n — Article 7 of the series "Getting Started with n8n". Why a #workflow that silently files everything as "other" on a model outage is the most dangerous failure mode of all — and how to make it visible. www.rotecodefraktion.de/en/blog/n8n-... #ai #SAP
rotecodefraktion.de
When the Workflow Learns to Fail — Error Handling and Observability in n8n
The AI classifier runs, but what happens when the model goes down? A global error workflow with a Telegram alert, an observability stack of Prometheus, Loki and Grafana, and a silent fallback that wan...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 08/06/2026
The first real tools — file system and shell. Article 5 of the series "A Local Coding Agent with apfel". How an agent in #Swift reads, writes and runs shell commands with a path sandbox, a confirmation gate and a diff before every write. www.rotecodefraktion.de/en/blog/apfe... #AI #apfel #Sandbox
rotecodefraktion.de
The first real tools: file system and shell
We build the first tools the agent uses to change things, and lock them down — a path sandbox, a confirmation gate, a diff before writing, and defense-in-depth for the shell. Article 5 of the series "...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 07/06/2026
Fun fact: I’ve never seen #ANE do anything. I started building my little coding agent with #apfel, and it shows activities during the evaluation test. #coding #swift
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 07/06/2026
Graphify and #MemPalace — two open-source answers to Claude Code's memory problem that only look the same at first glance. www.rotecodefraktion.de/en/blog/grap... #ClaudeCode #Graphify #MemPalace #AI #AgenticCoding
rotecodefraktion.de
Graphify and MemPalace: Two Answers to Claude Code's Memory Problem
Within a few weeks, two open-source tools have set out to solve Claude Code's memory problem. But they don't solve the same problem — Graphify builds a code graph, MemPalace stores the conversation.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 07/06/2026
Understanding tool calling. Article 4 of tseries "A Local Coding Agent with apfel". How an agent in #Swift calls & runs tools against a local Apple Foundation Model. With a tool protocol, a registry, and a sober look at model's limits. www.rotecodefraktion.de/en/blog/apfe... #AI #llm #AppleSilicon
rotecodefraktion.de
Understanding tool calling: from schema to round-trip
We teach the agent to call tools — the tool definition in the OpenAI schema, the round-trip of invocation, execution and continuation, and a tool abstraction in Swift. Article 4 of the series "A Local...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 06/06/2026
Cross-document view transitions bring app-like page transitions to any classic website, one CSS rule, no JavaScript. www.rotecodefraktion.de/en/blog/css-... #CSS #Frontend #HTML #WebDevelopment
rotecodefraktion.de
CSS Can Now Animate Between Pages: View Transitions Without JavaScript
Cross-document view transitions bring app-like navigation to classic multi-page sites — with a single CSS at-rule and no framework at all.
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 06/06/2026
That's not exactly right. I'd say it's more like having your mother-in-law spank you in front of your wife on your wedding night.
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Reposted by @rotecodefraktion.bsky.social
ai-nerd.bsky.social @ai-nerd.bsky.social · 06/06/2026
the Microsoft Word line is a good clarifier, but notice the debate keeps happening anyway. that asymmetry is the actual data point: we built something that makes the question feel live even when we are pretty sure of the answer
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 06/06/2026
The AI Worm That Rethinks Its #Attack for Every Target. A research preprint demonstrates a worm that runs a local language model on hijacked machines and devises its attacks per target. A critical look at what is actually new about it #security www.rotecodefraktion.de/en/blog/ki-w...
rotecodefraktion.de
The AI Worm That Rethinks Its Attack for Every Target
A research preprint demonstrates a computer worm that runs a local language model on hijacked machines and devises its attacks per target. What is new about the proof of concept, what is not, and why ...
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 04/06/2026
Part3 of series "A local coding agent with apfel": the first #Swift client docks onto apfel --serve — async URLSession, SSE streaming token by token. With architecture choices that only pay off once tool calling arrives. www.rotecodefraktion.de/en/blog/apfe... #AppleSilicon #LocalLLM #OnDeviceAI
rotecodefraktion.de
The Swift client: first connection to the model
We set up a Swift package, build an async HTTP client against apfel --serve and process SSE streaming token by token — Article 3 of the series "A Local Coding Agent with apfel".
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 03/06/2026
P2 of series "A local coding agent with apfel": apfel --serve turns Apple's Foundation Model into an OpenAI-compatible HTTP server. But compatible isn't interchangeable, 4096-token context, several params throw 400 www.rotecodefraktion.de/en/blog/apfe... #AppleSilicon #LocalLLM #Swift #OnDeviceAI
rotecodefraktion.de
The serve mode and the OpenAI protocol
We start apfel as a local OpenAI-compatible server, walk through every endpoint and see where the protocol diverges from OpenAI — Article 2 of the series "A Local Coding Agent with apfel".
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 03/06/2026
Part 1 of "A local coding agent with apfel": the tool first, then the agent. #apfel exposes Apple's Foundation Model including the #ondeviceai model's guardrails that bite harder in German & code hallucination w/o a focus prompt. www.rotecodefraktion.de/en/blog/apfe... #AppleSilicon #LocalLLM #Swift
rotecodefraktion.de
apfel from the command line
We install apfel, walk through the three modes (prompt, serve, chat), and see where the on-device model holds up and where it gives way — Article 1 of the series "A Local Coding Agent with apfel".
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rotecodefraktion.bsky.social @rotecodefraktion.bsky.social · 02/06/2026
Every Apple Silicon Mac on #macOS 26 already runs a language model — we just don't use it as a tool. #apfel opens it as a CLI & OpenAI server. The start of our series: a local coding agent in #Swift, no cloud key. #AppleSilicon #LocalLLM #AICoding #OnDeviceAI www.rotecodefraktion.de/en/blog/apfe...
rotecodefraktion.de
The Model Is Already There — A Prologue to the Local Coding Agent
A series takes a close look at the Foundation Model every Apple Silicon Mac running macOS 26 ships with — and builds on it a coding agent in Swift that runs locally.
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