Topics
Deep-dives into the AI agents, protocols, benchmarks, and workflows shaping how developers actually use this stuff.
Coding Agents
Claude Code June 2026 Update: Reliability Fixes That Actually Matter
A practical breakdown of the stale-session fix, safer edits, and what Claude Code still has to prove to earn developer trust.
Read more →Benchmarks
Agent Benchmarks Need to Measure Real Work, Not Just Demos
Why developers are rejecting shallow evals and what a more useful benchmark stack would look like for real-world agent systems.
Read more →Workflow
Do AI Coding Agents Create Leverage or Just More Review Work?
A developer-first framework for deciding when coding agents lower total workload and when they simply shift the work around.
Read more →Autonomous
Why Developers Are Pushing Back on Multi-Agent AI Systems
A practical look at where multi-agent architectures fail, where they win, and how to decide when orchestration complexity is worth it.
Read more →Protocols
MCP Protocol
The Model Context Protocol: how it works, why it matters, and what open-sourcing means for the agent ecosystem.
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