» Tag
prompt-engineering
22 postsThe 75% False-Negative Wall LLM Reviewers Can't Move
Why LLM-based reviewers hit a fixed 75% false-negative rate, and why voting, reruns, and prompt calibration all fail to move it.
LLM Judges Verify Presence, Not Absence: Blind Spot in AI Clinical Notes
New research shows LLM judges struggle to detect omissions in AI-generated clinical notes; a restructured fact-checking method significantly improves detection.
Agentic AI Economics: Why Unconstrained Autonomy Costs More
Agentic AI deployments are overspending and creating security holes by treating rigid business workflows as open-ended reasoning tasks.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comWhy Prompt Debt Quietly Breaks AI Systems
Natural-language prompts speed up AI prototypes but create fragile, model-locked systems. Learn why prompt debt happens and how evals fix it.
Stop Editing Prompts, Build a Context Compiler Instead
Instead of hand-editing prompt strings, treat context assembly as a compiler: versioned templates, testable rules, and full traces of what shipped.
Building an AI Website Generator for Nigerian SMBs: Architecture & Lessons
How WebDigitize generates multi-page sites for Nigerian SMBs using Next.js, FastAPI, and Claude — plus key lessons on Puck JSON schema design.
Context Engineering: Why AI Agents Need More Than Good Prompts
AI agent output depends less on prompt wording and more on curated context. Why tool design, memory, and context curation now beat prompt engineering.
From Prompt to Loop Engineering: The Verifier Is the Bottleneck
Prompt engineering became context engineering, now loop engineering: same unit-of-work shift, but the newest bottleneck is the verifier, not the model.
Treat the Context Window Like a Budget, Not a Junk Drawer
An open-source context-engineering framework has AI agents draft a context manifest before work begins, disciplining token budgets with decay rules and cross-platform parity checks.
Free Course Teaches Context, Harness, and Loop Engineering for AI Agents
A free 2026 course on context, harness, and loop engineering for AI agents ships 134 tests, auto-graded exercises, and live-model labs.