Anthropic released Sonnet 5.5 at $2 and $10 per million input and output tokens, half the Opus 5.5 rate. How much a buyer saves by moving work down a tier depends on tokens burned per task and on cache reads priced identically on both models.
Perspective Coverage
5 publishers
- Builder
- Builder 46%
- Operator
- Operator 38%
- Investor
- Investor 16%
Reality
- Evidence55
- Adoption35
- Hype gap+20
- Incentives70
- Confidence60
buildOne report1 publisher AI code reviewers mean three different things when they promise to follow your standards
AI code reviewers lose hosted rule ingestion first on self-managed GitLab, Azure DevOps Server and Bitbucket Data Center, a dev.to comparison says. Of the three mechanisms it compares, only a pass/fail rule can block a merge, and vendors tend to put that one on paid tiers.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+20
- Incentives
- Not scored
- Confidence40
buildOne report1 publisher AI-assisted pull requests wait 4.6 times longer for a first review than unassisted ones
LinearB's 2026 benchmark finds only 32.7% of AI-assisted pull requests accepted within 30 days, against 84.4% of manual ones. The figures are associations, but they put review cost in the queue and in repeat rounds, where faster diff reading helps little.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+10
- Incentives40
- Confidence40
TypeSafe AI's Jev puts routine decisions on the automation agenda
TypeSafe AI's Jev, a model that returns scored decisions, is in some developers' products after a launch video drew almost 40 million views on X. The evidence so far is hackathon testimony, so the useful work for leaders this quarter is finding which routine decisions can be split into narrow questions.
Reality
- Evidence30
- Adoption20
- Hype gap+45
- Incentives60
- Confidence35
buildOne report1 publisher Copilot code review on Azure Repos waits on three admins before its first comment
Copilot code review for Azure Repos needs admins at three levels to enable it, in order, before it can comment on one pull request. It is a limited preview with no SLA, so whether review runs at all is configuration an Azure DevOps shop has to own and keep checking.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap0
- Incentives35
- Confidence50
buildOne report1 publisher WorldScript Studio gives merge-blocking power to four of its fifteen automated reviewers
WorldScript Studio tracks fifteen automated reviewers in a JSON registry, and only four deterministic security scanners may block a merge. The design keeps LLM false positives off the merge path and keeps pull-request code away from the checker that judges it.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+10
- Incentives55
- Confidence45
buildOne report1 publisher Two Incommensurable AI Code-Review Benchmarks Each Rank Their Own Product First
LinearB scored 16 hand-built bugs on noise and clarity; DeepSource ran the same product category against OpenSSF's public CVE corpus and published F1. Each vendor wins on its own instrument, and the two tests reward different behaviour.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap+38
- Incentives86
- Confidence52
buildOne report1 publisher Martian scores code review bots on whether a developer actually changed the code
Code Review Bench reconstructs the timeline of 16,017 open source pull requests and publishes precision and recall beside every F1. The top five tools sit within five points of each other, on samples of very different size.
Reality
- Evidence66
- Adoption45
- Hype gap+12
- Incentives55
- Confidence55
buildOne report1 publisher curl's confirmed-vulnerability rate fell from above 15 percent to under 5 in 2025
The case that generated code fails without the usual warning signs comes from two practitioner accounts, while the only measured series is curl's inbound bug reports, and Daniel Stenberg stopped taking those in January 2026.
Reality
- Evidence38
- Adoption58
- Hype gap+34
- Incentives62
- Confidence46
$3.3bn of disclosed cash minted $26bn of new unicorn value in August
Crunchbase counted 29 additions to its unicorn board in August, worth about $63bn, and across the nine AI, software and semiconductor entrants with disclosed terms, every dollar of new cash set roughly eight dollars of paper.
Reality
- Evidence50
- Adoption24
- Hype gap+32
- Incentives66
- Confidence45
buildOne report1 publisher A decision rule sorts Codex and CodeRabbit by the unit of work each owns to completion
A dev.to post declines to rank the two on review accuracy without a controlled head-to-head, and asks instead whether you want a contract that ends in a tested working tree or feedback that stays attached to the PR.
Reality
- Evidence38
- Adoption
- Not scored
- Hype gap−8
- Incentives25
- Confidence45
buildOne report1 publisher The bug that was not in the diff: 1,100 double charges cleared a four-minute review
A retry loop with backoff, a timeout and test coverage charged 1,100 customers twice because it read an HTTP timeout as proof nothing happened. The diff never said otherwise.
Reality
- Evidence24
- Adoption32
- Hype gap+34
- Incentives44
- Confidence30
buildOne report1 publisher Copilot code review only ever files comments, so stop buying it as a merge gate
GitHub's own docs say Copilot always submits a Comment review. A governed change has four checkpoints, and the one holding authority is still branch protection.
Reality
- Evidence46
- Adoption
- Not scored
- Hype gap−8
- Incentives54
- Confidence42
The cheap-token era is over, and consumption bills are outrunning the AI business case
AI is billed by usage, and the introductory pricing has ended. The programs in trouble are the ones that put exhaustive, repeatable checking work onto a metered model endpoint.
Reality
- Evidence30
- Adoption34
- Hype gap+32
- Incentives84
- Confidence33
Tessl moves review standards into the repo, and hands teams the homework
Tessl Code Review, free during beta, keeps review criteria as versioned files the team owns instead of logic sealed inside a vendor product. Someone still has to write the criteria.
Reality
- Evidence28
- Adoption10
- Hype gap+38
- Incentives68
- Confidence44
Microsoft's AI bug finders have outrun its Exchange engineers, and CU1 is the casualty
Microsoft has delayed the first cumulative update for Exchange Server Subscription Edition a second time, with no new date, while engineers validate a growing pile of AI-found security findings.
Reality
- Evidence58
- Adoption24
- Hype gap+22
- Incentives62
- Confidence55
buildOne report1 publisher The defect tax on in-editor models is a review capacity problem, not a tooling one
Reported figures put bug rates 41% higher and security flaws 2.74x more prevalent in AI assisted code. The constraint that decides whether that matters is review throughput.
Reality
- Evidence24
- Adoption31
- Hype gap+34
- Incentives58
- Confidence21
The dependency gate moves upstream: why post-commit SCA misses hallucinated packages
A vendor essay on AI package hallucination makes a defensible case: a package name that does not exist yet cannot be scanned, so the control has to sit at selection.
Reality
- Evidence24
- Adoption22
- Hype gap+41
- Incentives88
- Confidence45