ROI takes, build-vs-buy framings, and honest reads on AI coding tooling. Written for founders and engineering leaders, not implementers.
· Paul Lukic
Coding agents delegate to sub-agents with wildly different demands, and almost everyone runs all of them on one model. Here is the cost of that, why a shipped default would be worse, and how we built model selection that asks once and always reports what it did.
Read postRecursive self-improvement is the idea that an artificial intelligence system improves its own ability to improve. Here is what the theory actually says, why the model-level loop is still theory, and how we built the instruction-level version for coding agents with a human at the gate.
Autonomous coding agents multiply engineering output and API spend at the same time. Most of that spend is context waste, and a code graph cuts it by two thirds.
Running five AI coding tools doesn't give you five times the leverage. It gives you five agents grepping the same repo, and a token bill that quietly compounds.
Meta's Muse Glimmer puts a real agentic coding model on a single consumer GPU—Apache 2.0, 131K context. When tokens are free, the window becomes the meter. Context efficiency stops being cost control and becomes fit.
Our headline claim was 79.7% token savings — one task, one fixture, bytes ÷ 4. The new harness runs 3 tasks with tiktoken and reports the median: 67.9%. Here's why the lower number is worth more, and what shipped with it.
The +50% weekly limit boost is scheduled to lapse August 19. Limits are weather—capacity-driven, changed five times in a year. Tokens-per-task is the only forecast you control.
The access chaos is over: Fable 5 is permanently included in Max and Team Premium—at 50% of a weekly limit every model shares. Quota is the currency again, and tokens-per-task is the only lever you own.
Tesla reportedly capped per-engineer AI spend at $200 a week. Uber is tightening limits too. Caps ration the work—cutting context waste is how you keep shipping under one.
On July 13, Claude Fable 5 switches from plan limits to usage credits at $10/$50 per million tokens. The habit that costs you most? Agents that read 20 files when 4 would do.
Cross-tool poisoning means your AI agent is only as secure as the worst MCP server you've connected. Here's the risk, and how to shrink it.
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