Martin Heller

Developer, consultant, writer, editor, photographer and intellectual omnivore

@[email protected]

[Martin Heller @meheller]

Kiro, Spec Kit, Tessl, and Zenflow offer a more systematic and structured approach to developing with AI agents than vibe coding. https://t.co/MrtK5rym9d

[Martin Heller @meheller]

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and an excellent playground for experimenting with agents. https://t.co/9zLIia0Hoj

[Martin Heller @meheller]

The Google ADK is a capable and mostly complete framework for developing agents, with support for multiple agent types, multi-agent architectures, and multiple programming languages. https://t.co/KLZS206WEN

[Martin Heller @meheller]

AgentCore delivers an enterprise-grade infrastructure and operations layer for deploying and managing AI agents at scale, with a few wrinkles. https://t.co/iz5HQ8WUr8

[Martin Heller @meheller]

AgentCore delivers an enterprise-grade infrastructure and operations layer for deploying and managing AI agents at scale, with a few wrinkles. https://t.co/4ThwSQw6eA

[Martin Heller @meheller]

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap. https://t.co/MM3RXG30wW

[Martin Heller @meheller]

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS expertise. https://t.co/6E72VCzmLd

[Martin Heller @meheller]

Jules performs better than Gemini CLI despite using the same model, and more like Claude Code and OpenAI Codex. https://t.co/jXsQHWfwDa

[Martin Heller @meheller]

Codex gives software developers a first-rate coding agent in their terminal and their IDE, along with the ability to delegate background tasks to agents in the cloud. https://t.co/AcusNYfDIq

[Martin Heller @meheller]

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding? https://t.co/USlHFmZ40k

[Martin Heller @meheller]

Qwen Code’s Qwen3-Coder model doesn’t seem as good as its benchmark scores imply, but the tools are free and the usage limits are generous. https://t.co/ghJmzNuMQA

[Martin Heller @meheller]

AI-powered coding agents are now real and usable, if not without their foibles. Here’s a brief look at the top prospects. https://t.co/5R4f724QS8

[Martin Heller @meheller]

Gemini CLI and its gemini-2.5-pro model don’t quite match Claude Code or Solver, but they can get you pretty far without paying for a subscription or for usage. https://t.co/XLglX8IUwe

[Martin Heller @meheller]

Open-source distributed OLAP database and powerful SaaS counterpart shine with plug-in indexes, signature tunable star-tree index, and ability to combine batch data with streaming data. https://t.co/VjBEZYBEkD

[Martin Heller @meheller]

Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and multi-lingual support. https://t.co/FWsPx1aWQe

[Martin Heller @meheller]

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. https://t.co/FxjRl8pclb

[Martin Heller @meheller]

Google’s AI coding assistant can help you write, test, debug, and document your code, but currently lacks whole-repo code generation and agents for long-running coding tasks. https://t.co/DLFnSMvBtK

[Martin Heller @meheller]

Do you want to delegate a software engineering task to an AI agent and leave it to work on the problem by itself? Solver may be able to help you. https://t.co/H1lJ3zC2rr

[Martin Heller @meheller]

LangChain, LlamaIndex, Semantic Kernel, and Haystack all help you to construct retrieval-augmented generation and other AI-enabled apps using your favorite large language models. https://t.co/tdtg99EJCJ

[Martin Heller @meheller]

GitHub Copilot has pushed AI-assisted programming well beyond code generation and code chat, with new capabilities continuing to arrive at a rapid pace. https://t.co/jLlLUYZIjg