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denn-gubskyon Ask HN: Is Coding Solved?

Software development always was a way to explain the real task to computer. As developer you should understand the domain, you should understand the solution, you should understand tools and approaches. Coding languages and tools are changing and evolving. I started from IBM360, 8080 and MCS48 assemblers and Fortran. A year ago I used C++, Dart, Go and Python. More than year I do not manually write code at all. But I still a software developer. Tools changing, but software development is the same: applying domain knowledge and business requirements to the computing domain. So yes, coding is solved. But software development still alive.

denn-gubskyon Show HN: Galdor – a Go LLM agent framework with built-in tracing and replay

Interesting project. I'm developing a similar project of wider scale. My project is open-source, so we could exchange ideas and technologies.

denn-gubskyon Show HN: Cortex – local-first encrypted memory for AI agents (Rust, MCP)

Interesting project. I'm developing the opensource agentic runtime (Go). Do you plan the gRPC interface to your library for seamless integration with Go? I already have integrations with mem0 and mem9 (planned) memory backends. Would be nice to integrate your really fast and secure OSS memory backend.

denn-gubskyon Show HN: Claw Patrol, a security firewall for agents

Nice library and fast Go code, which is nice to know. I'm solving the similar problem, but on different level. The agentic runtime (Go too) I'm developing, applying safety guards on different layers, including redaction and compression plugins. Do you only block the agentic request or you can redact it in the middle? How do you solve LLM caching problems? What your agent see when it's request is blocked? Does it try to reformulate the request or just stops?

denn-gubskyon Local Models in Mid-2026

Thank you for sharing. I'm running Gemma4:12b and qwen-coder-next MoE on my local RTX5080 (yes, 16Gb). Using them for local agentic tasks with tools and MCP tools usage. Both hallucinating on my setup. Do you have a rating for most appropriate local models for local agenting tasks? I also tried kimi2.6, qwen3.6 - no luck.

denn-gubskyon Final run for the current LHC accelerator (but more to come)

Sorry, this is wrong page. Comment was to the Claude AI reinforcement learning models training article. Wrong click. sorry again.

denn-gubskyon Ask HN: Any Local LLM can I run without GPU for Local Agentic workflow AI?

try latest gemma4:12b. It fits into 16Gb with 256K context window

denn-gubskyon Ask HN: Any Local LLM can I run without GPU for Local Agentic workflow AI?

Try qwen3-coder or qwen3-coder-next models which fit into your configuration. This is team-of-experts model which may load only actual experts into GPU.

denn-gubskyon Lessons from Shipping Persistent Memory for AI Agents

Thanks for sharing. I'm developing agentic tools and interested in mem9 intergration. Reading docs and considering.

denn-gubskyon AI Agent Frameworks Comparison

Good analysis for few selected solutions. I'd like also read about excluded competitors like LlamaIndex, Mastra, Smolagents, Pydantic AI, LoomCycle, Dify

denn-gubskyon Anthropic to roll out Claude Mythos in coming weeks, launches Opus 4.8

Can't wait to hands-on testing.

denn-gubskyon OpenClaw Architecture – Part 1: Control Plane, Sessions, and the Event Loop

Thank for sharing this article. I developing an agentic runtime and borrowed few interesting ideas regarding gateway and external web hooks. Worth bookmarking.