Field notes from the work. Sovereign AI, agent grounding, compliance architecture, and the things we learned the hard way.
Written by Mike McGreal, Dendro Logic | Engineering | Published: The standard answer to “how do I stop my agent making things up” is retrieval. Give it a search tool over your documents and your code, and it will look things up instead of guessing. I have run that setup for over a year, and […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: How do you start using bigger models for the complex tasks without driving the cost through the roof? My last article described a delivery pipeline end to end and gave its routing table exactly one section. That section said what the table does. It did […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: In my last article I described what a closed build loop needs – a foreman that owns a backlog, a build that runs a real correctness loop, independent review gating the pull request, one human signal to merge – and then I said “build your […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: The most important button in my development process now does almost nothing. When a pull request lands for review on one of my products, I read the summary, glance at the verdict, and hit merge. There is no heroics in it, no line-by-line audit, no […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: One evening in June I pointed an AI agent at a product backlog, gave it the rules of engagement, and went to bed. By the time I woke up it had shipped four features. Not four suggestions. Not four half-finished branches waiting for me to […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: Every serious agentic memory system you can read about today has converged on roughly the same whiteboard. Capture the turns. Summarise them. Embed and index the result. Retrieve the relevant chunks on the next session. Inject them back into the model. The substrate is now […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: 22 May 2026 Agent amnesia is the productivity problem I keep coming back to. Every fresh session starts cold. Every compaction inside a long session severs the chain of reasoning the model had built up. Every hand-off across days, machines, or developers loses what the […]
Written by Mike McGreal, Dendro Logic | Engineering | Published: 9 May 2026 Last week I pasted a URL into the #research channel of my Discord. Thirty seconds later, a verdict came back in the same channel: Interesting. The article describes a memory system; my brain already has hybrid retrieval, typed knowledge graph, and MCP-driven […]
Four iterations of inference tuning on a single DGX Spark and gpt-oss-120b. Same hardware, same model, 4.3x single-stream gain through flag tuning, an EAGLE3 negative result, a from-source vLLM build, and a one-line CUDA graph fix.
Written by Mike McGreal, Dendro Logic | Engineering | Published: 1 May 2026 The contradiction nobody is talking about loudly enough Adoption is real. Stack Overflow’s 2024 Developer Survey reports 63.2% of professional developers now use AI tools, with another 13.5% planning to adopt soon. 81% identify productivity as the biggest benefit they hope for. […]
Benchmarking the NVIDIA DGX Spark (GB10, 128GB) reveals 120x more throughput at concurrency 256 than single-stream reviews show. Full vLLM config and production workload results.