Latest posts tagged with #LLMdev on Bluesky
Users evaluate models like Composer 1, Gemini, and Claude Opus, and tools like Kilocode. Experiences vary widely, emphasizing the need to test different AI solutions to find the best fit for specific coding tasks. #LLMDev 5/6
www.reddit.com/r/ClaudeAI/c...
If I had a nickel every time an AI tool wiped a huge part of someones Computer in the last week, I'd have two nickels
#llmdev
Your AI prototype will fail… silently. Learn Pre-prototype habits for logging and observability to see inside your app, debug faster, and make your AI more reliable.
alanknox.com/logging-obse...
#ai #VibeCoding #AICoding #AIPrototyping #Logging #Observability #SoftwareEngineering #LLMDev
Fast prototypes are great… until you try to deploy them. Learn Pre-prototype habits for CI/CD and deployment discipline to keep your AI apps resilient and safe.
alanknox.com/ci-cd-deploy...
#AI #VibeCoding #AICoding #AIPrototyping #CICD #DeploymentDiscipline #SoftwareEngineering #AIApps #LLMDev
Picking AI agent framework? Agentic Shift Part 8 covers LangChain, ADK, CrewAI, n8n & more. Build smart! 🚀 #AIAgents #AgentFrameworks #LLMDev
Read it here: allen.hutchison.org/2025/11/08/c...
Prompt-injection can trick your AI into revealing secrets or ignoring rules.
Here are the Pre-prototype habits every vibe coder should follow to keep AI prototypes safe.
alanknox.com/prompt-injec...
#VibeCoding #AICoding #AppSecurity #PromptInjection #AIPrototyping #LLMDev #SoftwareEngineering
How fast can llama.cpp run on CPU alone?
Sergiu Nagailic’s benchmarks hit 92+ tokens/sec on a second-hand Threadripper—no GPU.
Great for devs in Drupal, Laravel, and niche AI use cases.
Full breakdown: https://bit.ly/43FLGTU
#OpenSourceAI #llamacpp #LLMDev #CPUBenchmarking
Howdy folks! We're going live tonight on #Twitch at 7 CST with some more AI adventures. We're exploring #xState to power the workflows from our editor; it'll be exciting to see our first successful run!
www.twitch.tv/dxeys
#streamupdates #bananigans #NestJS #NextJS #LLMdev #AIdev
Many developers find LLMs shine with boilerplate and repetitive tasks but struggle significantly with novel code, legacy systems, or tasks requiring deep understanding and creativity. Current AI still lacks true problem-solving depth. #LLMDev 2/6
RustGPT's primary value was seen as a learning exercise: building an LLM from scratch in Rust. Future potential includes performance optimizations & GPU acceleration, pushing the boundaries of what's possible in Rust for deep learning. #LLMDev 6/6
Hacker News discussed LLMs in software dev: from significant productivity gains to frustrating limits. Their utility varies by expertise, project type, & specific tool use, profoundly impacting the development landscape. #LLMDev 1/6
Overview: HN discussion on LLM-driven dev. Debates range from skepticism to enthusiasm about LLM effectiveness, learning curves, and practical coding applications. Key themes include ease of learning, code quality, and workflow impact. #LLMDev 1/7
For local LLM development and inference, the Framework Desktop shines. Its unified memory architecture and AMD Ryzen AI Max 395+ allow significant RAM allocation to the GPU, making it a compelling choice for running large models. #LLMDev 3/5
A primary concern for GPT-5 is context awareness in long coding sessions. Some report significant improvements, but many emphasize breaking complex problems into smaller chunks, regardless of LLM context window size. Stay modular! #LLMDev 2/6
Hacker News discussed "vibe coding" with LLMs in software development. The debate centered on LLMs' potential to create inconsistent, poorly architected code without proper oversight. Key themes include maintaining code quality, the evolving developer role, and effective AI guidance. #LLMDev 1/6
I gave a talk recently about self-hosting AI models, and I’ve turned that into a new post.
The post covers how I started with local-first tools like Ollama and Llama.cpp, and why I still run them
Check it out here:
open.substack.com/pub/soypetet...
#LLMDev #SelfHost #LocalAI #Ollama #LlamaCpp
Effectively using LLMs in dev requires new techniques: prompting for structured outputs, building tight feedback loops for iteration, and managing complex context windows are crucial skills. #LLMDev 5/6
LLMs can analyze & improve existing Clojure codebases. They help spot missing checks or suggest refactoring. Crucially, indexing your code makes the LLM smarter about *your* project context. #LLMDev 3/6
Building with AI just got smarter. 🧠
I create AI apps and chatbots using Langchain, LlamaIndex, HuggingFace, CrewAI & AutoGen.
✔️ RAG, API, GUI
✔️ LLM orchestration
✔️ Custom workflows
Hire a dev who knows the future → go.fiverr.com/visit/?bta=2...
#Langchain #HuggingFace #LLMDev #FiverrPro #AIapps
.NET SDK v1.47.0 Released
Telemetry gets a boost + Gemini schema fixes.
Check it out 👉 github.com/microsoft/se...
#SemanticKernel #DotNet #OpenTelemetry #LLMdev
"A tiny town simulator? I needed two minutes to do that. That's ridiculous."
Can AI tools like Base44 and Bolt.new really replace early prototyping? Watch the test:
🎥 www.ainativedev.co/72h
#AINativeDev #DevTools #LLMDev
We recently released an AI Native Dev episode exploring AI‑first prototyping with Base44 and Bolt.new
“This is basically creating SimCity for me,” — Simon Maple
👇 We discuss speed, completeness, and maintainability — listen to the podcast: www.ainativedev.co/72h
#AINativeDev #DevTools #LLMDev
What happens when two engineers give AI 10 minutes to build a SimCity-style app from a vague prompt?
Simon and Joe pit Base44 vs. @bolt.new
Watch the chaos unfold
🎧 www.ainativedev.co/72h
#AINativeDev #DevTools #LLMDev #BASE44 #BoltNew #AIDevelopment
Transform your #LanguageModels output with #QuestionDecomposition & #AIchains on LQ (lq.1nb.ai). Read more about LQ here: news.ycombinator.com/item?id=4248...
#AI #LLMs #developers #ML #GenAI #LLMdev #Tech
