SaaSpocalypse

AI agents change the build-versus-buy calculation for software workflows. The opportunity is customization; the hard part is owning the system after the demo.

Above the Model

Context, memory, tools, evaluation and independent verification shape agent quality alongside model capability. A practical framework and 90-day improvement plan.

MCP, From Pidgin to Protocol

Before MCP, every AI integration was its own pidgin — improvised, simplified, just enough to get one client talking to one tool. Five floors from the first shared word to a real protocol: what MCP is, when to use it, every server worth running, the failure modes teams hit.

RAG, From Crayons to PhD

Five floors of understanding: a beginner version, an engineer version, a tools-and-cases version, an advanced version, a PhD version. By the end you'll know what RAG is, when to use it, when to run, every tool worth caring about, and the hot takes most posts won't tell you.

AI Adoption Beyond Hype and Rejection

A practical way to evaluate AI workflows: separate capability, value and permission, compare complete outcomes, and revise decisions as evidence changes.

Evaluating Opus 4.7 and Claude Code Quality Reports

Separate model behavior from client regressions, verify reported failures, and measure completed-task quality using the April 2026 postmortem and reproducible evidence.

Sinapt and the Queryable Company

Sinapt proposes a shared retrieval layer for engineering knowledge. The design questions are source coverage, access control, provenance, evaluation and usable interfaces—not an assumed productivity multiplier.

Workload Identity for the Claude API

Workload Identity Federation replaces a workload’s long-lived Claude API key with short-lived tokens. The integration still needs scoped trust rules, protected credentials and a verified migration.

Claude's Constitution

Anthropic published a 23,000-word values manifesto for Claude under CC0. The four-principle priority order, the Aristotelian framing, and what every operator should internalize before their next session.

Memory Outside the Tree

Configure one canonical memory store, migrate existing notes with verified backups, and check where the agent actually reads and writes. Git synchronization and optional aliases remain separate concerns.

Sinapt: Two Products, Not One

The Sinapt brainstorm needs one architectural correction: it is two products. The knowledge-base infrastructure ships first; the cockpit is a future opinionated layer on top.

Sinapt: One Cockpit for the AI-Native Operator

A product concept for connecting coding agents, an editor and a shared knowledge layer. The article explores integration requirements and the boundaries a prototype would need to test.