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AI-assisted dev workflow (spec-first)
How to structure development around specs and AI tools so you ship faster without losing correctness. Pillar: workflow.
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AI governance
Policies, risk controls, and auditability for AI-assisted development in enterprises. Pillar: governance.
1 min readRead moreCopilot PR review
Using GitHub Copilot for PR review and consistency with your spec. Cluster: workflow.
1 min readRead moreCursor rules
How to use Cursor rules files to steer AI behavior and keep style and constraints consistent. Cluster: workflow.
1 min readRead moreEvaluation harnesses
Automated checks to see if AI outputs meet your spec or quality bar. Cluster: workflow and ROI.
1 min readRead moreHuman in the loop
Where and how to require human approval in AI-assisted workflows. Cluster: workflow and governance.
1 min readRead moreLLM observability
Logging, tracing, and auditing for LLM calls in your apps. Cluster: governance.
1 min readRead moreMeasuring ROI without lying
How to measure the impact of AI-assisted development with evidence, not hype. Pillar: ROI and metrics.
1 min readRead morePrompt injection defenses
How to reduce prompt injection and excessive agency in LLM apps. Cluster: governance.
1 min readRead moreROI metrics
Definitions and practical metrics for AI-assisted development impact. Cluster: ROI.
1 min readRead moreSecure prompting
How to design prompts and guardrails so AI outputs stay safe and within policy. Cluster: governance.
1 min readRead moreSpec-first workflow
Practical steps to write a spec before coding and use it with AI tools. Cluster: workflow.
1 min readRead moreWelcome to the LearnAIng Blog
A short introduction to the LearnAIng blog: talks, bootcamps, and practical AI tools for software teams.
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