Automated coder

The AI a leading lab would prefer to use over its human software engineers for coding.

Facts

Lane: Software
Wave: 8 of 12 (build order, not a date)
Needs: 18 boxes all the way back through hard links
Unlocks: 7 boxes downstream through hard links
Leverage: 1.0 points · stands in the way of 6 of 53 stages · rank 11 of 57
Cluster: Agents at work
When: Sourced forecast: 2027 to 2030

Evidence as of October 2026

AI Futures’ forecasters put the median between November 2027 and January 2030, and judge reality to be running at about 70 to 90% of the speed AI 2027 predicted. The AI 2027 authors’ own updated model says February 2029 to March 2030.

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Whether a leading lab would rather use its AI than its own engineers for coding.

Timeline note
AI Futures’ forecasters put the median between November 2027 and January 2030; the AI 2027 authors’ updated model says February 2029 to March 2030.

Around it

Needs · 6

AI writes most new codestage · Built today
Coding agents as productsstage · Built today
Long-horizon agentsstage · Built today
Reliability on repeatcapability · Emerging
RL on checkable taskscapability · Built today
Code review at scalecapability · Emerging

Unlocks · 1

Superhuman AI researcherstage · Speculative

Loops and off-ramps

Capex pullbackoff-ramp · cut off
Taiwan chip disruptionoff-ramp · cut off
Power shortfalloff-ramp · cut off
Capability plateauoff-ramp · cut off
Training data ruled outoff-ramp · slowed

Openings researchers' judgement, October 2026 scouting

Startup room 49/100 · rank 36 of 124 Research room 31/100 · rank 115 of 124

Crowding5 Lab overlap5 Small-team fit1 Buyer today5 Research openness2

Depth: deep
Players: Anthropic, OpenAI, Google, xAI/Cursor (>$3bn ARR, SpaceX $60bn deal); GitHub Copilot; Mercor ($10bn, data)
Wedge: Only picks and shovels: contamination-free coding evals, RL environments and expert task data that labs buy from outside. startup