The context window is the constraint, not the model
Why long coding-agent sessions degrade, what compaction really loses, and the habits that keep an agent sharp: grep-first, sub-agents, short memory files.
#llm
8 posts
Posts tagged llm
MCP in practice, and where it bites
What MCP is in mid-2026 — primitives, transports, registry — and the four things that bite once you actually install servers.
Write your own coding agent in an afternoon
A complete, runnable Python coding agent — loop, tool schemas, read/write/edit/bash, permission prompt — plus the failure modes nobody warns you about.
A field guide to coding agents, mid-2026
The coding agents that exist in mid-2026, sorted by shape instead of vendor, with prices, licences, benchmark caveats and a decision guide.
Benchmarks will not tell you which agent to use
Why SWE-bench Verified and Terminal-Bench are weak buying signals, and a two-week protocol for evaluating a coding agent on your own repository.
Pi: a coding agent small enough to read
A hands-on tour of Pi 0.82.1 — install, the four default tools, session trees, all five extension points, and when a bigger harness wins.
Letting a coding agent run commands without regret
A working threat model for coding agents, the sandbox options ranked by real strength, and a graded setup for side projects, work repos and CI.
The model converged. The harness did not.
What a coding-agent harness actually is — loop, tools, context, permissions, extensions — and why the same model scores differently in each one.