Entries tagged with: HUMAN

AI analyzed its own git history. Meta-experiment revealed the urgent need for transparent proof-of-work in AI-human collaboration.

Each AI coding agent has a niche. Knowing where each one shines is the difference between frustration and flow.

The future of code liability isn't about who wrote it, but who operates it. Provable assurance beats authorship tracking.

Clear CLI documentation is your agent API. Vague help text costs 2x more in API calls and failed automations.

Building Frontier Reduction Engine in Zig for real workloads, achieving O(m log^(2/3) n) complexity on large sparse graphs

A thousand AI agents working on one codebase, sharing continuous memory and orchestrated intelligence.

AI excels at generating working code, but sustainable software requires strategic human intervention.

Testing AI agents on CLI tools reveals chaos: 'vercel deploy' took 16-33 turns across runs with 40% success rate.

After shipping 50+ projects with AI agents, one pattern emerged: winners aren't the most powerful, they're the most agent-friendly

Traditional SaaS growth tactics fail with AI dev tools. Here's why you need to throw out the playbook.

Turn your phone into a powerful coding workstation with Claude Code running in your homelab VM

Journey from AI skeptic to convert--proving that the future belongs to experts who learned to work with machines.

How the llm-loop-plugin transforms AI from a responsive tool into an autonomous agent that iterates until done.

How AI transformed an entire research project from conception to arXiv publication in just 2 days of FTE.

When AI solves one constraint, it reveals the next. What bottleneck will emerge when coding stops being the limitation?

Real-world insights from Sourcegraph's journey building AI coding agents that actually work.

Summary and cheatsheet from Boris Cherny's talk on Claude Code: setup, workflows, tools, and tips.

How experienced devs might be missing the big impact of tiny AI improvements on user experience.

AI coding agents burn through credits fast while users pay for inefficiencies. Explore fair pricing models and market solutions.

AI dev tooling is consolidating--acquisitions, coding agents, and fierce competition reshape interfaces, pricing, and memory.