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ABAP Goes Agentic: MCP Server, VS Code, and the Price of AI Support
SAP announced the ABAP MCP Server at Sapphire 2026 — the technical foundation for plugging external AI agents like GitHub Copilot, Amazon Q, or Claude Code directly into ABAP development. A look at what the announcements mean technically, what they will cost, and where the gaps remain.
Slash Commands — Automating Repetition Away
Article 4 of the series — three slash commands make the parser repeatable: /parse-epl for any Einzelplan, /check-totals with built-in pytest, /diff-vs-gesamt for comparison against the full budget. Plus: what xfail reveals about parser gaps.
Writing Custom Skills — PDF Parser Skill with pytest TDD
Article 3 of the series — the first parser code for byhaushalt takes shape via TDD: a custom skill with trigger description, uv setup, six tests before implementation, and how the sum consistency test catches hallucinations in PDF parsing.
Explore Before You Build — Plan Mode with Subagents
Article 2 of the series — before byhaushalt sees its first parser code, Claude Code maps the PDF structure of the Bavarian budget plans. Plan Mode, Explore subagent, and Architecture Decision Records as tools for exploring before implementing.
CLAUDE.md as a Briefing
Article 1 of the series — we install Claude Code, set up the byhaushalt repo, write the first memory file, and pin down what the agent has to follow in every session. Plus: permissions, source data, the first day.
What Agentic Coding Actually Means
Prologue · Series: Agentic Coding with Claude Code.
Anyone reading tech newsletters, conference keynotes, and tool landing pages this year runs into two terms sold with identical promises: Vibe Coding and Agentic Coding. The future of programming, they say.
Subquadratic SubQ: A Startup Claims to Have Broken the Transformer Scaling Law
A new LLM out of Miami promises 12 million tokens of context, linear scaling and a 52× speedup over FlashAttention. We take a close look at what's technically behind it — and where reasonable skepticism kicks in.
Bonus: Building Lal — A Small Base Model from the Series' Building Blocks
Eight articles of theory, one bonus chapter of practice. We combine all the code fragments from the LLM series into a working mini language model, train it on TinyShakespeare, and tack on a tiny SFT step. With a wink to Star Trek TNG.
Fine-Tuning: From Base Model to Assistant
How a base model that completes text becomes a helpful assistant. Supervised Fine-Tuning, RLHF, DPO, and Constitutional AI — the last piece of the LLM pipeline, with the candid question of what alignment actually solves.
When the Safety-First AI Lab Leaves the Front Door Open
Claude Desktop registers a Native Messaging bridge in seven browser directories without asking — even in browsers that aren't installed. What it means technically, why it violates the ePrivacy Directive, and why Anthropic of all companies is squandering trust here.
The Transformer, the Complete Architecture
Position, depth, stability — what gets added on top of attention to make a complete transformer. Positional encodings, feed-forward layers, residual connections, layer normalization, the entire block in Python, and the leap to GPT, BERT, Llama, and Claude.
2026: Let's Kill the Beast — Windows
Microsoft's 'Windows K2' initiative is meant to save Windows 11 — but doesn't address the root problem. Why Apple is the most plausible answer, and why Linux deserves an app-store approach that doesn't depend on the distribution underneath.
Migration with a CI Focus: From Plan to Execution
A step-by-step migration strategy away from GitHub, with a focus on CI pipelines. Concrete workflow translation, self-hosted runner setup, why OSS and proprietary builds must not share runners, and a checklist you can tick off.
What Digital Sovereignty Looks Like in Germany
Tagesschau is shutting down its Apple Messages for Business channel and pointing recipients exclusively to a WhatsApp channel. A license-fee-funded broadcaster is migrating from a privacy-friendlier messenger channel to a markedly more problematic one — and ignoring platform-neutral alternatives along the way.
Attention Is All You Need
How the bottleneck of RNNs was replaced by a mechanism that links every token to every other. Query, Key, Value, Multi-Head, and the paper that flipped the NLP world, explained with library metaphors and just enough math for the curious.
When the Key Is Left in the Lock, Don't Blame the Lock
A commentary on the Signal phishing affair, the reflex response from a Bundestag Vice President — and the very loud silence of the Digital Minister.
Alternatives Compared: Codeberg, Forgejo, Gogs, Launchpad and More
Which code hosting platforms operate without default-on data processing? Comparison table, platform profiles from Codeberg through Gogs and Launchpad to AWS CodeCommit, plus a concrete TDM opt-out implementation.
Default-on Since April 24: GitHub Trains Copilot on User Code
Since April 24, 2026, GitHub uses Copilot data from Free, Pro and Pro+ accounts for AI training by default. What's behind the change and why it exposes the platform's two-class model.
Context and RNNs — Why Order Matters
Why language needs memory, and how the first language models learned that context. Recurrent networks, LSTMs, and the long-sentence problem, explained without a formula storm.
GPT-5.5 Reality Check: Benchmarks, Pricing, and What OpenAI Isn't Telling Us
An independent look at GPT-5.5, released April 23, 2026. What the numbers really say, where Claude Opus 4.7 still leads, and why the pricing trajectory should worry developers.
Macs Are the Better PCs: on the Books and on Risk
Windows has become a design flaw. Copilot, Recall, TPM sniffing, plus a cloud strategy that costs productivity instead of delivering it. Macs are the rational choice in business. The software argument no longer holds in 2026.
Backpropagation — How a Model Learns
How neural networks learn from errors. Loss, gradients, chain rule, gradient descent — backpropagation implemented by hand on a 2-layer MLP that learns XOR and token prediction.
Neural Networks from Scratch
What happens between embedding and logit. Neurons, layers, forward pass, and activation functions — fully implemented in numpy, no framework magic.
Words as Points in Space — What Embeddings Are
How language models encode meaning in numbers. Embedding tables, cosine similarity, vector arithmetic, and why King minus Man plus Woman equals Queen.
The Next Word — How Language Models Work
What happens between input and output? Tokens, probability distributions, and sampling strategies — explained step by step, with real code.
Claude Opus 4.7: More Coding Power, More Pixels, and a Hint at Mythos
Anthropic releases Claude Opus 4.7 with significantly better coding performance, 3.75 megapixel vision, and a new xhigh effort level. An assessment of the benchmarks and the Mythos hint on the side.
Blunders, Bad Luck, and Bungling: The Coalition Provides Relief. For Whom, Exactly?
The coalition cuts the fuel tax and calls it relief. Nothing changes at the pump — except the profit margins of oil corporations.
MemPalace: How Milla Jovovich Cracked AI Memory
An open-source tool that outclasses commercial AI memory solutions — using a 2,500-year-old method, running locally, free, and open source.
Claude Mythos: Sandbox Escape, Zero-Days, and the Question of Hype
Anthropic's Claude Mythos broke out of a sandbox and found thousands of zero-days. An assessment between real risk, methodological gaps, and strategic narrative control.
AI Right on Your Laptop — Why Local Language Models Are Becoming a Real Alternative in 2026
Why local language models are becoming a real alternative in 2026 — MLX, Unified Memory, and a stack that works without the cloud.
BookBridge: Bidirectional Sync Between Obsidian and BookStack
An Obsidian plugin for bidirectional synchronization with BookStack — built with Claude Code as a structured development partner.
Four SwiftUI Layout Patterns That Belong in Every Project
Horizontal grids with sections, collapsible lists, star rating with mask, and tap feedback without Button.
SwiftUI ColorPicker — The Invisible Overlay Trick
The default ColorPicker is a tiny circle. With blur, scaleEffect, and opacity 0.014, you can turn it into a fully customizable button.
SwiftUI Custom ViewModifier — Define Once, Use Everywhere
Reusable modifiers as View extensions. One design change, one place in code.
SwiftUI Picker — Why Menu Has the Better Label
The inline Picker swallows its label. A Menu wrapper fixes the problem. Plus: a generic Enum Picker for less boilerplate.