IDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
56 articles
15 Sep 2026 · 4 min read
agents
Fable 5.1 can read every earlier Claude model's thinking blocks. No earlier model can read Fable 5.1's. That asymmetry looks like a footnote until your team needs to roll back a production agent mid-incident.
Read more14 Sep 2026 · 5 min read
agents
On September 3, 2026, Cursor let you swap its own cloud-agent infrastructure for eight other backends, including Vercel Sandbox. That's not a partnership announcement. It's Cursor telling you where its moat actually is.
Read more11 Sep 2026 · 4 min read
agents
OpenAI opened its Agents API in public beta on September 10 — putting the same session, sandbox, and subagent machinery that runs Codex behind one API call. A technical lead's take on what this replaces in your stack and what it doesn't.
Read more04 Sep 2026 · 4 min read
agents
Console went from a $6.2M seed to a $500M acquisition by Palo Alto Networks in about two years, automating IT help desk tickets with AI agents. A Tech Lead's breakdown of what made an agentic ITSM layer worth that price, and how to evaluate whether your own ticket queue is a good target for the same pattern.
Read more04 Sep 2026 · 5 min read
agents
OpenAI's GPT-6 Astra ships with a 1M-token context window and browser/computer control that works by reading pixels, not APIs. A Tech Lead's take on what this actually unlocks, where it breaks, and how to design review gates before you let it touch production systems.
Read more30 Aug 2026 · 4 min read
agents
Salesforce made Claude the default reasoning model across Agentforce and Slack. A technical lead's read on the architecture pattern this sets — and the governance questions every enterprise adopting it needs to answer first.
Read more30 Aug 2026 · 4 min read
agents
AWS now offers MiniMax's agent-tuned MoE models through Bedrock. A hands-on look at what agent-native training changes versus a general-purpose model, and where it fits in a tiered-routing setup.
Read more27 Aug 2026 · 4 min read
agentic engineering
I self-hosted an agent platform on hardware I already own. The models were never the hard part. The hard part was the playbook: the exact combinations of engine, tools, and surface that turn one platform into a coder, a researcher, a QA gate, and a business analyst. Here are the five I actually run.
Read more20 Jul 2026 · 7 min read
agentic-ai
Google's ARD specification (v0.9, 2026) defines how AI agents discover tools at runtime via ai-catalog.json. A Tech Lead's practical guide: what it means, how it compares to MCP, and how to make your platform agent-discoverable today.
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