Opportunity ledger / Dossier O-0178
Helps developers review AI-generated code, control AI call costs, and manage context windows to improve AI programming efficiency on engineering teams.
First seen 2026-05-03 · Last updated 2026-08-30 · Recalculated daily
Trend factor ×1.0, capped at 2.0.
Post title: GPT-5.6 Sol High massively overengineered my basic prototype compared with Claude Code
Codex using GPT-5.6 Sol High turned the work into …
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: OpenAI reduces Codex Model Context Size from 372k to 272k
That's quite small for my workloads. I try to keep it under 200k but my DeepSeek and MiMo sessions can sometimes grow to 350k tokens when I try to squeeze one last iteration I compact.
Evidence linked to this dossier has received 1 human audit. Reviews may confirm or correct the original label. View quality history →
What this evidence does not show yet
This dossier already carries first-hand payment evidence. What it still cannot tell you: market size, how reachable these people are, or what it costs to acquire them.
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Scoring summary
Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.
“Payment-backed” means first-hand payment evidence exists in the record. It does not mean the business is worth building. “Fading” is a recency tag shown alongside any evidence level, not a lower level. Read the full methodology.