Discontinued
AppGyver was shut down on March 23, 2026
AppGyver vs LLMs From Scratch
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | AppGyver | LLMs From Scratch |
|---|---|---|
| Target User | SAP customers, enterprise developers, citizen developers | Deep learning engineers, researchers, students learning LLMs |
| Core Feature | Low-code app builder, AI automation, RPA, 500+ templates | Step-by-step PyTorch code to build GPT-like LLM from scratch |
| Integration | SAP BTP, S/4HANA, SuccessFactors, VS Code, UiPath | PyTorch (code-based, no app integration) |
| AI Capabilities | Joule AI assistant, AI workflow automation, document processing | Teaches how to implement transformers, attention, fine-tuning, RLHF |
| Latest News | 2025 Visionary in Gartner LCAP MQ, MCP server integration, Joule Studio launch | Author trained 30M/113M-param LLMs (2026 blog posts) |
If you're an SAP customer needing to build compliant extensions or automate workflows, AppGyver is the no-brainer choice. If you want to truly understand how LLMs work under the hood and build one yourself in PyTorch, 'LLMs From Scratch' is unmatched. They serve completely different purposes, so your decision hinges on whether you're solving enterprise SAP problems or learning AI engineering.
Discontinued: SAP retired SAP Build Apps, formerly AppGyver, as a standalone product on March 23, 2026. SAP points users to the unified SAP Build platform.
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A code-first Manning book that walks you through building a GPT-2 class LLM in PyTorch, line by line, without using existing LLM libraries
Visit WebsiteWhat real users say: AppGyver vs LLMs From Scratch
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
AppGyver
16 mentions across 2 sources · 43% positive — mixed (averaged across 2 sources)
Hacker News, YouTube
What users praise
- • Unified low-code and pro-code platform from SAP
- • Strong for SAP extensions and clean-core compliance
- • 500+ prebuilt templates speed up development
- • Joule AI assistant supports natural language app creation
What frustrates them
- • Limited community reviews and hands-on feedback
- • Steep learning curve for non-coders, per YouTube
- • Build errors like 'Download error log' frustrated users
- • Largely irrelevant for non-SAP organizations
Researched Aug 28, 2026
LLMs From Scratch
49 mentions across 3 sources · 73% positive (averaged across 3 sources)
Hacker News, GitHub, Lemmy
What users praise
- • Unmatched depth in explaining transformer internals with code and illustrations
- • Hands-on approach: build and train a GPT-like model from scratch on your laptop
- • Cryptography: clear, step-by-step construction of multi-head self-attention and transformer blocks
- • Strong focus on 'why' behind architecture, not just 'how' to use APIs
What frustrates them
- • High skill barrier: requires intermediate Python and deep learning knowledge
- • Time-consuming to work through fully—not a quick read
- • Some chapter code lacks reproducibility, breaking the 'follow-along' experience
- • Assumes PyTorch comfort; non-PyTorch users face extra friction
Researched Aug 14, 2026
Who should pick which
- SAP developer building extensionsPick: AppGyver
AppGyver provides drag-and-drop tools, ABAP Cloud, CAP, and Joule AI to quickly build clean-core compliant extensions for S/4HANA.
- Machine learning engineer learning LLM internalsPick: LLMs From Scratch
The book offers step-by-step PyTorch code to build a GPT-like LLM, covering essential topics like attention, training, and fine-tuning.
- Enterprise IT automating SAP workflowsPick: AppGyver
AppGyver includes AI workflow automation, RPA via UiPath, and 500+ templates to automate business processes within SAP.
- CS student doing a deep learning projectPick: LLMs From Scratch
The book provides a hands-on approach with code exercises that help you understand transformer architectures and train your own model.
- Citizen developer in SAP environmentPick: AppGyver
AppGyver's visual builder and templates enable non-programmers to create business apps and sites without code.
Frequently Asked Questions
AppGyver vs LLMs From Scratch: which should you choose?
If you're an SAP customer needing to build compliant extensions or automate workflows, AppGyver is the no-brainer choice. If you want to truly understand how LLMs work under the hood and build one yourself in PyTorch, 'LLMs From Scratch' is unmatched. They serve completely different purposes, so your decision hinges on whether you're solving enterprise SAP problems or learning AI engineering.
Can I use AppGyver without an SAP subscription?
No, AppGyver is designed for SAP customers and tightly integrated with SAP BTP. It is not suitable for non-SAP organizations.
Do I need to know Python to use 'LLMs From Scratch'?
Yes, the book assumes familiarity with Python and deep learning fundamentals to follow the code examples.
Which one is better for building a production LLM?
Neither directly. AppGyver doesn't build LLMs; it uses prebuilt AI. The book teaches you to build a prototype, not a production-grade model.
Does AppGyver support integration with non-SAP systems?
While it integrates with SAP and some third-party tools like UiPath and MCP servers, its primary focus is the SAP ecosystem.
Is 'LLMs From Scratch' up-to-date with the latest LLM architectures?
The book covers fundamental transformer architecture, which is still relevant. The author's 2026 blog posts show training modern small LLMs, indicating continued relevance.
Can I try AppGyver for free?
AppGyver requires contacting sales for access. There may be a trial, but pricing and trial details are not disclosed in the data.
Which tool is more cost-effective for a solo learner?
Definitely 'LLMs From Scratch' – a book is a one-time low cost, whereas AppGyver enterprise pricing is prohibitive for individuals.
Which product has better AI capabilities?
AppGyver offers ready-to-use AI (Joule assistant, workflow automation), while the book teaches you to build AI from scratch. The better choice depends on whether you need to use or create AI.
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Last reviewed: July 30, 2026