What each week held
Withheld: something was read in 1 week of the last 12. A series needs at least 2 to say anything a single reading does not.
What it declares
- invisible desktop overlay
- real-time transcription of interview questions
- instant AI-generated code solutions
- AI-detection evasion ("humanizer")
- global hotkey control
- multi-language code output
As the company’s own pages describe it. Forge did not test any of these.
What users raised
- LeetCode grind burnout
- measuring progress by streaks/problem count rather than skill
- unpaid take-home assessments feel exploitative
- difficulty sustaining practice while working full-time
- fairness/double-standard when recruiters themselves use AI
Themes people raised in public. A complaint is somebody’s opinion, not a measurement of the product.
Everything on record
5 observed claims. Newest first; the tag on each row is what kind of claim you are reading.
- DISCOURSEUSER OPINIONOct 1, 2026
Some candidates argue that unpaid take-home coding tests amount to exploitation, and reason that if recruiters themselves use AI, candidates see little reason not to use AI tools to make their own application process more efficient.
Shows the 'cheating' framing crossing into a legitimacy/fairness argument among candidates, a positioning risk for assessment vendors
www.marketplace.org/episode/2025/04/14/is-using-ai-in-job-interviews-cheating - COMPLAINTUSER OPINIONOct 1, 2026
Candidates repeatedly describe LeetCode grinding as producing burnout through long streaks of daily practice (one person reported 15 straight days and 80 problems), exhaustion, guilt over not doing enough, and frustration that practice is measured by problem-count/streaks rather than actual interview skill.
Represents a persistent, third-plus independent sighting of a complaint theme about interview-prep burnout that any prep-tool or interview-platform positioning should address
www.teamblind.com/post/leetcode-fatigue-vdwpvpbi - DISCOURSEFACTOct 1, 2026
Companies are adapting interview formats and tactics in response: Google's CEO suggested hiring managers consider returning to in-person interviews, and interviewers are being trained to counter AI assistance by asking candidates to explain code line-by-line, introduce deliberate bugs, or solve a follow-up problem in a different language.
Signals a positioning shift for interview-process vendors and hiring teams toward anti-AI-proof interview design
www.davidhaney.io/the-tech-interview-ai-cheating-epidemic/ - DISCOURSEFACTOct 1, 2026
A vendor-reported detection study found that 38.5% of candidates triggered cheating signals across 19,368 live interviews analyzed by one detection vendor between July 2025 and January 2026, with uniform AI response latency (3-5 seconds regardless of question difficulty) cited as the strongest behavioral tell.
Gives hiring teams and interview-platform vendors a quantified basis for how widespread AI-assisted cheating has become, shifting the conversation from anecdote to data
spacecomplexity.ai/blog/ai-cheating-coding-interviews - DISCOURSEFACTOct 1, 2026
An AI interview-cheating tool ecosystem is well established and growing, including Interview Coder's successor Cluely (which raised a reported follow-on from Andreessen Horowitz) and competitors like Leetcode Wizard and Final Round AI, which use invisible desktop overlays to feed LLM-generated answers to candidates during live coding interviews.
Affects hiring teams running live/virtual coding interviews, who face a maturing, commercialized cheating toolset rather than an isolated incident
studyalgorithms.com/misc/ai-cheat-interviews/
A record of what Forge read in public about Interviews in the age of AI assistants — its own pages and what people wrote about it. Nothing here is a test of the product, a ranking or a score, and Forge has no relationship with this company.