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Series

AI Tooling & Dev Harnesses

Agents, coding assistants and the harnesses they run inside. This series compares tools by how they behave over weeks of real work: what can be automated, what needs supervision, and where the overhead eats the saving.

21 articles

Real time as a use case: when the frame budget sets the architecture Real time as a use case: when the frame budget sets the architecture Games, trading and voice agents share one problem: the decision has to fit a window a token-by-token model cannot hold. KI •6 min 09/21/2026 Typed decisions in the mid-market: six processes that fit Typed decisions in the mid-market: six processes that fit Invoice matching, expense approval, claims triage, regulatory review, security alerts and extraction verification. Six processes and the questions behind them. Methodik •7 min 09/21/2026 What developers are actually building with Jev What developers are actually building with Jev A week after launch there are dozens of public projects. The patterns inside them say more than the vendor benchmark. Werkzeuge •8 min 09/20/2026 Where a decision model actually goes Where a decision model actually goes Five places in a working B2B pipeline where a typed decision replaces a language model call that was never language work. Methodik •6 min 09/17/2026 Not every decision needs a language model Not every decision needs a language model TypeSafe AI released Jev, a model that cannot write a sentence. The interesting part is not the model. It is the split it forces. KI •6 min 09/16/2026 Claude Fable 5.1 in practice: what the model carries and what it does not solve Claude Fable 5.1 in practice: what the model carries and what it does not solve One million tokens of context, cache reads at a fortieth of the input price, and a retention rule that decides the architecture in Germany. Tools •8 min 09/10/2026 Baidu Unlimited-OCR: one long document in a single pass, on-prem Baidu Unlimited-OCR: one long document in a single pass, on-prem Baidu's Unlimited-OCR keeps the KV cache constant and reads long PDFs in a single pass, MIT-licensed and on-prem. Tools •5 min 06/25/2026 Context engineering: why it matters and how to do it well Context engineering: why it matters and how to do it well Context engineering designs everything a model sees, not just the prompt. It is what makes agents reliable. Methodology •3 min 06/25/2026 LangChain, LangGraph, LangSmith, LangFlow: four names, two companies, one decision LangChain, LangGraph, LangSmith, LangFlow: four names, two companies, one decision Three of these four are one converging stack. LangFlow is a different company. Pick by the job, not the brand. Tools •5 min 06/25/2026 n8n versus Make.com: which automation for which team n8n versus Make.com: which automation for which team n8n is self-hostable and developer-friendly, Make.com is faster for no-code. The choice comes down to control and team. Tools •2 min 06/25/2026 YOLO in 2026: NMS-free detection, a version map that lies, and the licence nobody reads YOLO in 2026: NMS-free detection, a version map that lies, and the licence nobody reads YOLO26 ships NMS-free detection and faster CPU inference, but the highest version number is not the supported one. Tools •4 min 06/25/2026 Automating business processes with n8n (and where AI comes into play) Automating business processes with n8n (and where AI comes into play) n8n automates processes self-hosted in the EU. Where AI helps, where it gets fragile, and when real engineering is needed. Tools •4 min 06/19/2026 No-code agent builders for the Mittelstand: what they do and where they stop No-code agent builders for the Mittelstand: what they do and where they stop No-code agent builders ship value fast, then stop at governance, evals and scale. When to use one, and when to build. Tools •5 min 06/19/2026 Voice agent platforms compared: ElevenLabs vs Retell vs Voiceflow Voice agent platforms compared: ElevenLabs vs Retell vs Voiceflow ElevenLabs, Retell and Voiceflow solve different voice-agent jobs. How to pick for German support, CX, or dev teams. Tools •4 min 06/19/2026 Choosing a coding agent: Claude Code, Codex, Cursor, Antigravity, or Opencode Choosing a coding agent: Claude Code, Codex, Cursor, Antigravity, or Opencode Your data situation decides the coding agent, not the benchmark. Does your code leave the building or not? Tools •5 min 06/18/2026 Extending agentic harnesses: skills, artifacts, commands and connectors Extending agentic harnesses: skills, artifacts, commands and connectors The model gets the headlines. The harness around it is where your leverage and your attack surface both live. Tools •5 min 06/18/2026 Personal knowledge management with AI: Claude Code and Obsidian Personal knowledge management with AI: Claude Code and Obsidian Your Obsidian vault stays local. The AI's inference does not. That split is the whole PKM decision. Methodology •5 min 06/18/2026 API, MCP, or CLI: choosing how to wire AI into your stack API, MCP, or CLI: choosing how to wire AI into your stack API, MCP, and CLI are three layers, not rivals. Pick by how many integrations you run and who has to audit them. Methodology •5 min 06/17/2026 Where a coding agent earns its keep outside engineering Where a coding agent earns its keep outside engineering Claude Code's real value outside engineering is not code. It is letting marketing and ops encode their own procedures. Methodology •6 min 06/17/2026 Graphify: giving AI coding assistants a map Graphify: giving AI coding assistants a map Graphify turns a codebase into a queryable knowledge graph: local-first, no code leaves the machine, cheaper agent runs. Tools •4 min 06/15/2026 Kimi K2.7 Code: open-weight, coding-first, cheaper tokens Kimi K2.7 Code: open-weight, coding-first, cheaper tokens Moonshot's Kimi K2.7 Code: open-weight, coding-first, cheaper tokens. The numbers, the caveats, why open matters. AI •4 min 06/15/2026

Wayne Dyer

“If you change the way you look at things, the things you look at change.”